Forum emploi SFP

[Autre] Lecturer III, Natural Sciences à University of Michigan Residential College

Sat, 25 Jul 2026 17:53:09 +0200

The Residential College (RC) of the College of Literature, Science, and the Arts at the University of Michigan is seeking applicants for a full-time Lecturer III to teach courses on the topics of “Science and Society” and to serve as head of this program. The RC is a four-year, living-learning community and a unit within the College of LS&A serving the undergraduate student population on the University of Michigan’s Ann Arbor campus. This is a full-time, non-tenure-track position with a university-year appointment beginning August 25, 2027. The “Science and Society” Program aims to provide students with fundamental knowledge in the natural sciences and to demonstrate the mutual influences among science, technology, policy, and culture. This program emphasizes interdisciplinary teaching and experiential learning whenever feasible. The subject areas of natural science are open; we are particularly interested in those related to climate change, biodiversity, or health.

Responsibilities

The successful candidate will serve as head of the program and teach five courses throughout the academic year (fall and winter terms) beginning on August 25, 2027.

Teaching responsibilities

The successful candidate will teach introductory and upper-level courses in their areas of expertise. Each fall, the candidate will also offer a first-year writing seminar on a natural-science theme. Examples of recent first-year writing courses of this kind are “Lessons from Deep Time” and “The Science of Creativity.” The academic minor in Science, Technology, and Society is housed in the Residential College. The successful candidate will demonstrate the ability to serve as faculty advisor to the minor or as a general advisor in the RC depending on staffing needs.

Administrative responsibilities

The responsibilities of the program head are listed below; these extend throughout the year.

Hold regular meetings for faculty in the program
Oversee course offerings and curriculum management of the program, including review of course descriptions as needed
Meet with RC students enrolled in natural-science majors
Interact with the RC Academic Services office
Attend meetings of the RC Curriculum Planning Committee as a representative of the Science and Society Program
Advise the RC Administrative Team and Executive Committee on program needs and accomplishments
Liaise with the natural-science departments on campus to identify faculty who could cross-list courses in the RC Science and Society Program.

Qualifications

Qualified candidates will have an advanced degree in the natural sciences (e.g., earth sciences, biology, physics) prior to the starting date and instructional expertise teaching undergraduate students. In addition, desired qualifications are a PhD in the natural sciences and evidence of successful teaching of a diverse group of undergraduate students in small-course settings. Excellence in teaching and instructional service will be the principal criteria used to select the successful candidate.

How to Apply

To be considered for this position, applicants should submit their materials to Interfolio: https://apply.interfolio.com/187995

Cover Letter
Curriculum vitae
Statement of teaching philosophy
Three references, which should include their contact information and your relationship to them.

Review of applications will begin immediately and will continue until the position is filled.

Contact Information

Questions about applying for this position can be emailed to: rcpositions@umich.edu.

We anticipate notifying the successful candidate by December 1, 2026.

Mission Statement

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Union Affiliation

This position is covered under the collective bargaining agreement between the U-M and the Lecturers Employee Organization, AFL-CIO, which contains and settles all matters with respect to wages, benefits, hours and other terms and conditions of employment.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

U-M EEO Statement

The University of Michigan is an equal opportunity employer.

Candidater

[Autre] NOMIS-ISTA Fellowship Program à IST Austria

Fri, 24 Jul 2026 17:53:09 +0200

The NOMIS-ISTA Fellowship Program offers excellent postdoctoral researchers the freedom to work on questions at the intersection of two or more scientific disciplines in a unique research environment, while also providing the security of outstanding scientific mentorship from proven leaders in their respective fields. A cross-discipline project proposal, to be co-supervised by two group leaders from different disciplines, identifies projects and fellows who demonstrate great flexibility, creativity and collaboration.

All research fields supported at ISTA will be eligible (see https://ista.ac.at/en/research). Should the specific interdisciplinary expertise required for the research project not be available at ISTA, an external secondary supervisor can be proposed. This external supervisor can host the fellow (secondment) for up to three months per fellowship year.

NOMIS and ISTA award two NOMIS Fellowships annually, following a two-stage application process (including interview).

The closing date for the 2026 Call for Proposals is September 10, 2026 (14:00 CEST)

Benefits of a NOMIS Fellowship

Cutting-edge and state-of-the-art resources (scientific service units, research and travel funds)
Freedom to explore high-risk concepts
Three-year fully funded position with an internationally competitive salary (min. 76’986 EUR gross) and full social security coverage
Open, collaborative, interdisciplinary research environment
Enabling framework in which to develop interdisciplinary skills; dual mentorship
Teaching within ISTA encouraged (but not required), aiming to create the most conducive environment for the creation and transfer of knowledge
Research integrity and leadership training, as well as career development support
Joining ISTA’s and NOMIS Foundation’s global networks of exceptional, pioneering researchers

Eligibility Requirements

At the time of recruitment (i.e. within 8 months of the application deadline), applicants must have been awarded their PhD and preferably have acquired their first postdoctoral experience and/or interdisciplinary training. However, the NOMIS Fellowship Selection Panel will also consider exceptionally promising candidates who fall outside the above criteria.
Applicants must have an existing affiliation to an academic/research institution (note: internal applicants must not have been employed at ISTA before January 1, 2026.
Following the initial evaluation round, top-ranked candidates must be available for a remote interview between November 1, 2026 and November 21, 2026.
If successful, the NOMIS Fellowship must commence within six months of notification.

Your application must contain all required information and documents (including the reference letters from your referees) and have been submitted to our online system by 14:00 CEST on the date of the application deadline.

Candidater

[Autre] ISTA-Fellow Postdoctoral Program à IST Austria

Fri, 24 Jul 2026 17:53:09 +0200

The call for applications for the ISTA-Fellow Postdoctoral Program is open!

Are you eager to perform cutting-edge research in an international environment? Do you want to push the frontiers of science and work with supervisors and colleagues that are among the best in the world?

The ISTA-Fellow program at the Institute of Science and Technology Austria offers fully funded (two-year) postdoctoral fellowships (10 positions) for highly qualified candidates who have completed or will soon complete their PhD or equivalent in chemistry, data and computer science, earth sciences, life sciences, mathematics, and physics.

The application deadline is September 8, 2026 (14:00 CEST)

Salary: ISTA-Fellows receive 2-year, full time employment contracts with an internationally competitive salary (min. 73,500 EUR gross) and full social security coverage.

Proposals are invited in the following fields: Biology; Neuroscience; Physics; Chemistry; Computer Science; Data Science; Mathematics; Earth Science; and related disciplines

Benefits:

2-year, fully-funded postdoctoral position
State-of-the-art facilities and world-class scientific mentorship
Collaborative research environment International environment (English as working language)
Workshops and training for career development

For more information, please visit our website at https://ist.ac.at/en/education/postdocs/ista-fellow/

If you have questions regarding the ISTA-Fellow program, please do not hesitate to contact us via ista-fellow@ista.ac.at

Requirements:

All research groups at ISTA, except Astrophysics groups, are eligible (see https://ista.ac.at/en/research).

At the date of the respective call deadline, applicants must hold a PhD (or equivalent) or anticipate completing their PhD degree before the start of their fellowship (no later than 15/06/2027). A fellowship contract will not be issued until a copy of the diploma/proof of successful defense is provided.

Researchers already employed at ISTA before September 1, 2026 are not eligible to apply.

Candidater

[Autre] Canada Impact+ Emerging Leader in Radiopharmaceutical Sciences & Development à McMaster University

Fri, 24 Jul 2026 17:53:09 +0200

The Department of Chemistry & Chemical Biology in the Faculty of Science at McMaster University, a world leader in medical isotope and radiochemical research, invites applications from exceptional emerging scholars for the position of Canada Impact+ Emerging Leader in radiopharmaceutical sciences and development.

This position builds on McMaster’s uniquely integrated research environment in radiopharmaceutical research, with outstanding staff and infrastructure, including a dedicated high-level radiation research facility, a nuclear reactor, a cyclotron, licensed radiochemistry laboratories, advanced analytical radiochemistry instrumentation, and preclinical imaging facilities. New investments are also planned to expand small-animal imaging capabilities and to support a high-energy cyclotron and clinical translation. McMaster University has a highly successful track record of moving radiopharmaceuticals from the bench to the bedside and creating new spinout companies, such as Fusion Pharmaceuticals and RadioSyn. Overall, McMaster University has identified Nuclear, including all work involving medical isotopes, as a priority area to be supported by collaborations across the Faculties of Science, Engineering, and Health Sciences.

The successful applicant will join an existing core of four radiochemistry faculty members in the Department of Chemistry and Chemical Biology to lead an independent, extramurally funded research program that complements and expands McMaster’s strengths in radionuclide production, radiochemistry, radiopharmaceutical development, radiobiology, preclinical imaging, clinical translation, and related areas. Relevant research areas may include isotope separation and purification, radiometal and radiohalogen chemistry, chelator design and complexation, bioconjugation, molecular targeting, molecular imaging, nanomedicine, theranostics, and related areas of chemical biology, medicinal chemistry, organic chemistry, and inorganic chemistry. Work that has the potential to be cross-disciplinary will be regarded as an asset. The candidate will have access to cyclotron- and reactor-derived isotopes and radiochemistry facilities at McMaster, including licensed labs and modern discovery and characterization tools. These unique facilities are licensed to handle a wide range of isotopes and are equipped to perform chemical, biological and preclinical imaging studies.

The Canada Impact+ Emerging Leaders program is a $120 million investment by the Government of Canada to help institutions recruit more internationally based early career researchers in areas of strategic priority. Emerging Leaders are expected to have an independent research program with the potential for impact through collaborations with, but not limited to, the Canada Impact+ Research Chairs.

Canada Impact+ Emerging Leader candidates must:

be internationally based (both working and residing outside of Canada) at the time that the Impact+ chair accepts the award;
be excellent emerging world-class researchers who have demonstrated research creativity;
have demonstrated the potential to achieve international recognition in their fields in the next five to ten years;
have the potential to attract, develop and retain excellent trainees, students and future researchers;
be proposing an original, innovative research program of high quality; and
be willing and able to start the position, on a full-time basis, by June 1, 2027.

Although not strictly required by the Canada Impact+ Emerging Leader program, McMaster University requires that candidates have a Ph.D. in a relevant field and a demonstrated record of excellence in research and teaching. Related postdoctoral research experience will be viewed favourably. Nevertheless, we also welcome applications from exceptionally skilled candidates with limited experience in radiochemistry who are interested in bringing their expertise and talents to the field.

The successful candidate will be appointed at the rank of Assistant Professor (tenure-track) or Associate Professor (with tenure) depending on qualifications and experience. Salary will be commensurate with qualifications and experience.

About the University:

McMaster University is a globally renowned institution of higher learning and a research community committed to advancing human and societal health and well-being. McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations, and within the lands protected by the “Dish With One Spoon” wampum agreement.

McMaster's main campus, located in the Westdale neighbourhood of Hamilton, Ontario, comprises 300 acres of scenic property at the western end of Lake Ontario, between Toronto and Niagara Falls. Our 30-acre central core is designated for pedestrians and bicyclists. Nearby attractions include Cootes Paradise, the Bruce Trail, the Waterfront Trail, the Royal Botanical Gardens, and the Niagara Escarpment - a UNESCO World Biosphere Reserve.

Founded in 1887, McMaster University is ranked among the top public universities in the world (Times Higher Education World University Rankings, 2026). Home to 70 research centres and institutes, the University is comprised of six faculties: the DeGroote School of Business and the Faculties of Engineering, Health Sciences, Humanities, Science, and Social Sciences. Ranked second in Canada for faculty research intensity (Research Infosource, 2025), we are dedicated to fostering an equitable, diverse and inclusive environment where innovation and creativity thrive. With a diverse student population of more than 37,000, McMaster aims to serve the social, cultural and economic needs of our community and society at large by inspiring critical thinking, personal growth, and a passion for lifelong learning.

McMaster has a vision of using its collective skills, knowledge, and understanding to improve the world and make an impact in addressing the major issues we face. In committing to that vision, we are also focused on the promotion of inclusive excellence, recognizing the critical role that diversity of identity, background and perspective play in harnessing creativity and innovation, and the importance of building inclusive and collegial teams within our community. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity. The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence.

The University seeks qualified candidates who share our commitment to equity, diversity and inclusion. While all qualified candidates are invited to apply, we particularly welcome applications from all underrepresented, equity-seeking, rights-seeking populations, including racialized individuals, Indigenous Peoples, persons with disabilities, women, and individuals from the 2SLGBTQIA+ community. Progressive policies are in place to assist faculty members in achieving a work-life balance.

About the Faculty of Science and Department of Chemistry & Chemical Biology:

The Faculty of Science works to create global impact by advancing scientific discovery and knowledge and promoting greater understanding. Our innovative, interdisciplinary approach generates new methods and insights, results, and lasting change. Our focus on collaboratively exchanging ideas and approaches makes us uniquely positioned to pioneer ground-breaking solutions to real-world problems leading to a Brighter World.

The Department of Chemistry & Chemical Biology, with a contingent of 27 full-time faculty members, conducts leading-edge research and provides top-tier training for students in all areas of chemistry and chemical biology. Our department has achieved major breakthroughs in physical, inorganic, theoretical, analytical, biological and organic chemistry. We boast world-class facilities and instrumentation and maintain rich collaborative relationships with many McMaster research institutes and facilities, including the McMaster Nuclear Reactor, the Biointerfaces Institute, the Institute for Infectious Diseases Research, and the Brockhouse Institute for Materials Research.

How to Apply

A complete application consists of:

a cover letter (including a statement regarding whether the applicant has Canadian citizenship/permanent resident status)
a current, detailed Curriculum Vitae
a statement of research interests (5-page maximum), including detailed descriptions of three research projects that exemplify the proposed research program, as well as a list of the major instrumentation and equipment necessary to pursue the proposed research program
a statement highlighting the candidate’s top three publications and specifying the significance and novelty of these contributions
a statement of teaching philosophy and interests (2-page maximum)
a statement of experience and plans for advancing equity, diversity and inclusion in post-secondary education, community-based or other professional settings (2-page maximum)
the names and full contact information of at least three referees. Letters of reference are not required and will not be reviewed at the application stage; the Department will request letters of recommendation from referees at later stages of the search process.

Review of complete applications will begin December 1, 2026, although applications submitted after this deadline will be reviewed until the position is filled. All applicants will receive an online, system-generated confirmation of receipt of their application; however, only short-listed applicants will be contacted for interviews. Please be advised that any full-time, permanent faculty member in the Department may request confidential access to the application materials, including reference letters.

All materials must be submitted to the University’s electronic application portal on the McMaster Careers page (Mosaic Job posting ID 77517) by December 1, 2026, to ensure full consideration. The review of applications will continue until the position is filled. Complete applications must be made to the attention of:

Dr. Giuseppe Melacini, Professor & Chair, Department of Chemistry & Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1.

The Canada Impact+ Emerging Leaders program requires institutions to collect self-identification data from all applicants, in accordance with best practices. As part of McMaster’s efforts to fulfill our commitment to equity, diversity, and inclusivity, all applicants will be required to submit a brief diversity survey during the application process via the online application system. While completion and submission of the survey are mandatory, applicants may decline to answer any questions. Applicant self-identification information is confidential, and access is limited and restricted to designated individuals. For more information, please refer to the Applicant Diversity Survey – Statement of Collection. Should you have any further questions about the survey, please contact hr.empequity@mcmaster.ca.

McMaster University recognizes that life circumstances such as illness, disability, family and community responsibilities (e.g., maternity leave, parental leave, leaves due to illness, leaves due to caring for family members, slowdowns due to chronic illness or disability, or COVID 19 impacts) are often an expected part of life and are likely to have an impact on a candidate’s record of research achievement. We encourage candidates to explain in their applications the impact that career interruptions or other issues may have had, as described under “Career Interruptions” in the CRC program’s Guidelines for ensuring a fair and transparent recruitment and nomination process. Further details may be found in the Guidelines for Assessing the Productivity of Nominees. These impacts will be taken into careful consideration during the assessment process.

As noted in our Accessibility Policy, McMaster University is committed to fostering a culture of accessibility, eliminating barriers, and providing reasonable accommodations to ensure equal opportunities and access for individuals with disabilities. Applicants requiring accommodation to participate in the selection process are encouraged to contact Ms. Tanja Petrovic, Department Manager, Chemistry and Chemical Biology, email: petrovt@mcmaster.ca , phone: (905) 525-9140 x 23487 to communicate accommodation needs.

Please note, a research security review of candidates being considered for the Canada Impact+ Emerging Leader position will be undertaken by McMaster University. Applicants are encouraged to refer to the Government of Canada’s safeguarding your research website for further information on the identification and mitigation of security risks.

Candidater

[Autre] CUHK-Shenzhen Long Feng Science Forum 2026 Global Young Scholars' Forum August 28-30, 2026 à The Chinese University of Hong Kong, Shenzhen

Thu, 23 Jul 2026 17:53:10 +0200

CUHK-Shenzhen Long Feng Science Forum

2026 Global Young Scholars' Forum

August 28-30, 2026

“2026 Global Young Scholars' Forum” welcomes all young talents and rising stars in various disciplines to share research results and experiences through academic talks. We are actively hiring. The forum is a crucial part of our faculty recruitment process. Please join the forum to explore opportunities.

Application Requirement:

Have obtained (or will obtain within one year) a Ph.D. degree from a reputable university at home or abroad.
Have made significant achievements in the research fields of one of the four sub-forums:

Electrical and Computer Engineering:

Robotics and Embodied AI
Devices and Microelectronics
Intelligent Energy Engineering
Networks and Communication System

Mathematics:

Partial Differential Equations
Computational and Applied Mathematics
Algebra, Geometry, Topology
Financial Mathematics, Financial Engineering

Physics:

High-energy Experimental Physics
Quantum Materials and Condensed Matter Physics
AI for Physics

Materials, Chemistry and New Energy:

Organic Synthesis Chemistry
Polymer (composite) Materials and Intelligent Manufacturing
Luminescent Materials and Aggregate Science
New Energy Materials and Catalysis

This forum will be held online via Zoom from August 28 to 30, 2026.

Registration Deadline: August 8, 2026

Invited guests will be notified before August 14, 2026.

Please scan the QR code or visit the link below to register.

Candidater

[Autre] Exciting Research Career Opportunity at IRCBC in Shanghai, China à Interdisciplinary Research Center on Biology and Chemistry in the Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences.

Thu, 23 Jul 2026 17:53:10 +0200

The Interdisciplinary Research Center on Biology and Chemistry (IRCBC), the Chinese Academy of Sciences, Shanghai, is a rapidly growing collaborative research organization in China in collaboration with the Shanghai Institute of Organic Chemistry (https://ircbc.ac.cn/english/). The vision of IRCBC is to bring outstanding biologists, chemists and computational biologists to work side-by-side at the interface of biology, chemistry, and computational-AI sciences to address the most interesting and important biological questions that are broadly relevant to human diseases, including but not limited to neurological and neurodegenerative diseases, inflammatory and metabolic diseases. The IRCBC offers long-term stable support for research, highly competitive salary, benefits and generous housing allowance, modern laboratory space and state-of-the-art core facilities. The IRCBC invites applications from outstanding candidates from all stages of career to apply. In areas of AI-computational biology, we welcome applications from recent PhD graduates with demonstrated research excellence to establish their own independent research groups in IRCBC.

IRCBC provides an international and English-speaking scientific environment. Applicants who are Chinese- and non-Chinese-speaking are equally welcome.

IRCBC is seeking applicants with expertise in following areas:

Cellular and molecular biology, and structural biology;
Human and animal model studies of neurological and neurodegenerative diseases and drug target identifications;
Genomics and RNA-targeting mechanisms for neurodegenerative diseases;
AI-assisted molecular designs in small and large molecule drug development;
Chemical biology and medicinal chemistry.

Please submit a curriculum vitae with links to representative publication in the PubMed, one-page description of current research program and accomplishments, 2-3-page description of future research plans and the names of three references by email with the heading “IRCBC PI job application_2026” to: ircbc@sioc.ac.cn

Applications will be accepted until the positions are filled. Reviews of applications will begin in jul. 2026.

If you have any questions regarding submitting an application, please contact Dr. Heling Pan at panheling@sioc.ac.cn (in Chinese, or English).

IRCBC website: https://www.ircbc.ac.cn/

Key words:

Faculty, Biology, Neuroscience, Neurodegeneration, Cell biology, Chemical biology, Chemistry, Computational biology, AI-assisted drug development, Disease mechanism and drug target studies

Key highlight sentence:

The Interdisciplinary Research Center on Biology and Chemistry (IRCBC), is to bring outstanding scientists to work at the interface of biology, chemistry and artificial intelligence.

Candidater

[Autre] Tenure-track Faculty Positions in School of Physical Science and Technology à ShanghaiTech University

Thu, 23 Jul 2026 17:53:10 +0200

Tenure-track Faculty Positions in School of Physical Science and Technology (ShanghaiTech University)

Job Type：

Tenure-track Faculty

Novel electronic materials for information science

Quantum computation and quantum technology

Energy chemistry and biochemistry

Qualifications:

This search is open to candidates in all broadly defined areas of Materials， Physics and Chemistry. Competitive candidates should have a Ph.D., an outstanding record of research accomplishments, an innovative future research plan, an ability to achieve teaching excellence at both the undergraduate and graduate levels, and a commitment to fostering a diverse and inclusive community in the practice and teaching of science. The successful candidates will be expected to have excellent academic achievements, teach graduate and undergraduate courses, and a commitment to university service and public outreach. SPST provides an inclusive environment for all employees and welcomes applications from candidates of diverse background.

Novel electronic materials for information science

Quantum computation and quantum technology

Energy chemistry and biochemistry

Tenure-track faculty: Assistant Professor or Associate Professor

- The applicant should have a doctorate degree.

- The applicant promises to work full time at SPST upon acceptance of the offer.

Offer Package：

University will provide initial start-up fund and research lab space matching the research needs. Starting salary will be competitive and commensurate with qualifications and experience. We offer a comprehensive benefits package including health and retirement benefits as well as housing renting at a reduced rate.

Candidater

[Autre] Faculty Positions (Physical Science and Technology) in ShanghaiTech University à ShanghaiTech University

Thu, 23 Jul 2026 17:53:10 +0200

School of Physical Science and Technology (SPST):

Officially approved to open on September 30th 2013 by China’s Ministry of Education, ShanghaiTech University is a small-scale research university jointly established by Shanghai Municipal Government and Chinese Academy of Sciences (CAS), which located at Zhang-Jiang High-Tech Park in Shanghai, China. ShanghaiTech focuses on science and engineering with expected enrollment of 4,000 graduate and 2,000 undergraduate students.

The School of Physical Science and Technology (SPST) at ShanghaiTech University aims to create an environment that embodies the future of academic research and talent cultivation. At the heart of SPST are our faculty, staff, and students, who are dedicated to solving major challenges in materials, energy, and the environment.

Academic Disciplines:

Materials： Smart Materials，Atomic-level Manufacturing，Multiscale Representations，Energy Materials and Devices

Physics： Condensed Matter Physics， Computational Physics， Photonics Science，Theoretical Physics and Astrophysics

Chemistry：Chemical Biology，Physical Chemistry，Catalytic Chemistry，Synthetic Chemistry and Medicinal Chemistry

Qualifications:

This search is open to candidates in all broadly defined areas of Materials，Physics and Chemistry. Competitive candidates should have a Ph.D., an outstanding record of research accomplishments, an innovative future research plan, an ability to achieve teaching excellence at both the undergraduate and graduate levels, and a commitment to fostering a diverse and inclusive community in the practice and teaching of science. The successful candidates will be expected to have excellent academic achievements, teach graduate and undergraduate courses, and a commitment to university service and public outreach. SPST provides an inclusive environment for all employees and welcomes applications from candidates of diverse background.

Tenure-track faculty: Assistant Professor or Associate Professor

- The applicant should have a doctorate degree.

- The applicant promises to work full time at SPST upon acceptance of the offer.

Application Procedure:

Applications should include curriculum vitae, a 3 pages statement of research interests and the names of three individuals who can serve as references for the candidate. These materials should be sent to Dr. Zhou Qing (email: SPST@shanghaitech.edu.cn).

Center for Transformative Science (CTS):

Center for Transformative Science (CTS) is a new interdisciplinary institute of ShanghaiTech University. At CTS, we solve complex real-world problems using cutting edge big science facilities and instruments; we invent next generation powerful tools used by scientists; we cultivate scientists and innovations to explore matter in new ways. For detailed information, please visit us at http://cts.shanghaitech.edu.cn/.

CTS is planning to establish 20-25 independent research laboratories in the near future. Each laboratory has multiple openings at various levels such as Co-PI/Research Professor/Research Associate Professor/Research Assistant Professor. Excellent candidates could be employed as tenure-track/tenured Professors together with School of Physical Science and Technology (SPST), School of Information Science and Technology (SIST), School of Life Science and Technology (SLST), etc.

Academic Disciplines:

Excellent applicants in all fields are welcome to apply. Applicants in the following areas are encouraged but not limited:

1. Theory and simulation of photon-matter interactions, particularly its applications in ultrafast laser/X-ray spectroscopy.

2. Novel methods for characterizing, accessing, and manipulating amorphous materials and biological materials.

2. Coherent diffraction imaging and its applications in free electron laser, synchrotron radiation, and electron microscopy; Super-resolution fluorescence microscopy and its applications.

3. New in-situ and operando characterization method development for synchrotron radiation and X-ray free electron laser and its applications in energy science and life science

4. Pixel array x-ray/electron detectors and big data analysis.

Qualifications:

1. With excellent academic and scientific research background, applicants should have a doctoral degree in science and engineering, generally with postdoctoral experience.

2. With innovative and independent ideas and research ability, applicants should be able to set up an independent research group, with good teamwork ability.

3. Experience in large science project or interdisciplinary research is preferred.

Application Procedure:

Submit a cover letter, a 2-page research plan, a CV plus copies of 3 most significant publications, and names and contacts of three referees in English with PDF version to hiring.cts@shanghaitech.edu.cn

Candidater

[Autre] School of Biomedical Engineering (BME) in ShanghaiTech University à ShanghaiTech University

Thu, 23 Jul 2026 17:53:10 +0200

ShanghaiTech University invites highly-qualified candidates to apply for multiple tenure-track/tenured faculty positions in the newly established School of Biomedical Engineering (BME). We seek candidates with exceptional academic records, who have demonstrated strong potentials in all cutting-edge research areas of Biomedical Engineering. ShanghaiTech University is a newly-founded university in the heart of Shanghai Pudong’s Zhangjiang High-Tech Park that pioneers a new higher education and research system in China. With the backing and support of Shanghai Municipal Government and Chinese Academy of Sciences, ShanghaiTech aims to establish and maintain a world-class research profile in areas of energy, materials, biology, environment, healthcare, information technology and mathematics and to train future generations of scientists, entrepreneurs, and technical leaders. ShanghaiTech enjoys tremendous diversity, including faculty members from twenty-one countries. The qualified candidates must be fluent in communicating in English. Applicants with prior education and training experiences in overseas institutions are encouraged to apply.
For additional information about the department and the university, please visit:
www.shanghaitech.edu.cn
bme.shanghaitech.edu.cn

Academic Disciplines:
Candidates in all areas of Biomedical Engineering shall be considered. Our recruitment focuses, but is not limited to: Medical Imaging and Informatics (i.e., MR, CT, PET, Radiotherapy), Intelligent Medicine (using Artificial Intelligence, and Big Data), and Smart Biomedical Instruments (i.e., Wearable Device and Medical Robotics).

Compensation and Benefits:
Salary and startup funds are highly competitive, commensurate with experience and academic accomplishment. We also offer a comprehensive benefit package to employees and eligible dependents, including faculty housing programs and dependent education benefits. All regular ShanghaiTech faculty members will join its new tenure-track system in accordance with international practice for progress evaluation and promotion.

Qualifications:
•   Strong research productivity and demonstrated potentials;
•   Ph.D. (Biomedical Engineering, Electrical Engineering, Medical Imaging, Medical Physics, Biomedical Image Analysis, Artificial Intelligence, Medical Robotics, or other related scientific disciplines);
•   A minimum relevant (including PhD) research experience of 4 years.

Applications:
Submit (in English, PDF version) a cover letter, a 2-page research plan, a CV plus copies of 3 most significant publications, and names of three referees to:
bme@shanghaitech.edu.cn

Long-term recruitment of Faculty, researcher, postdoctoral and other positions，welcome to contact us by email: bme@shanghaitech.edu.cn

Welcome follow us by WeChat official account

Candidater

[Autre] Faculty Positions (Information & Mathematical Science) in ShanghaiTech University à ShanghaiTech University

Thu, 23 Jul 2026 17:53:10 +0200

School of Information Science and Technology(SIST)

Academic Disciplines:

ShanghaiTech University invites highly qualified candidates to fill multiple tenure-track/tenured faculty positions as its core founding team in the School of Information Science and Technology (SIST). We seek candidates with exceptional academic records or demonstrated strong potentials in all cutting-edge research areas of information science and technology. They must be fluent in English. English-based overseas academic training or background is highly desired.

ShanghaiTech is founded as a world-class research university for training future generations of scientists, entrepreneurs, and technical leaders. Boasting a new modern campus in Zhangjiang Hightech Park of cosmopolitan Shanghai, ShanghaiTech shall trail-blaze a new education system in China. Besides establishing and maintaining a world-class research profile, faculty candidates are also expected to contribute substantially to both graduate and undergraduate educations.

Candidates in all areas of information science and technology shall be considered. Our recruitment focus includes, but is not limited to: computer science, electrical engineering, information engineering, artificial intelligence, network and communication, virtual reality, statistics, data science, computational and applied mathematics, AI for science, AI in healthcare, AI for drug discovery and design etc.

Qualifications:

Strong research productivity and demonstrated potentials;

Ph.D. (Electrical Engineering, Computer Engineering, Computer Science, Statistics, Applied Math, or related field);

A minimum relevant (including PhD) research experience of 4 years.

Application Procedure:

Submit (in English, PDF version) a cover letter, a 2-page research plan, a CV plus copies of 3 most significant publications, and names of three referees to:

https://www.wenjuan.com/s/MFzQjeO/

For more information, please visit http://sist.shanghaitech.edu.cn/

or contact sist@shanghaitech.edu.cn

Institute of Mathematical Sciences(IMS)

Academic Disciplines:

Pure mathematics: algebraic geometry, differential geometry, partial differential equations, number theory, probability.

Theory of Computing: all areas of theoretical computer science, especially algorithms and computa- tional complexity.

Applied mathematics: computational mathematics, statistics and data science, physical mathematics, mathematical and computational biology, biostatistics, mathematical finance, operations research, actuarial sciences.

Qualifications:

Assistant professors are expected to be young mathematicians who have a demonstrated potential to be leading researchers internationally. These “tenure-track” positions have a six-year duration. Associate professors are established experts in their field. These tenured positions are permanent.

Postdoctoral fellow positions are also available for young scientists.

Application Procedure:

Applicants are encouraged to submit the following documents through mathjobs.org:

•CV, including a list of publications

•A research statement of up to 5 pages, describing their main achievements to date, as well as outlining the program of research they intend to follow for the next few years.

•A teaching statement

•Four letters of recommendation, at least one of which should address teaching.

Applications received will get full consideration. Early applications are encouraged as they will be evaluated on a rolling basis, but applications will be considered until the positions are filled.

Candidater

[Autre] Doctoral Researcher Positions à Friedrich-Schiller-Universität Jena

Thu, 23 Jul 2026 17:53:10 +0200

The Friedrich Schiller University Jena is a dynamic and innovation-driven university centrally located in Germany. With a broad range of disciplines, it shapes the future through excellent research and teaching. Its scientific excellence is reflected in the profile areas Light – Life – Liberty, which provide pioneering insights and sustainable solutions for the society of tomorrow. Through close collaborations with leading research institutions, innovative companies, and renowned cultural organizations, it advances interdisciplinary developments. With around 17,000 students and approximately 10,000 employees, it defines Jena as a vibrant, internationally connected city of science and innovation. The Jena School for Microbial Communication (JSMC) is an ambitious Graduate School with over 130 doctoral and postdoctoral scientists. We offer structured, interdisciplinary PhD and career training programs based on top-level fundamental research. They conceptually combine different research areas to a comprehensive picture of microbial communication. The Cluster of Excellence ‘Balance of the Microverse’ studies the fundamental principles underlying microbial community interactions and functions in diverse habitats, ranging from oceans and groundwater to plants and human hosts.

The Graduate School of Excellence ‘JSMC’ and the Cluster of Excellence ‘Balance of the Microverse’ invite applications for

Doctoral (TV-L E13, 65%) Researcher Positions

commencing in 2026.
We offer two doctoral full-time positions (40 hours per week), part-time arrangements can be discussed, offered as a fixed-term positions for 3 years.

We expect:

Master’s degree or equivalent in Natural or Life Sciences (e.g., Biology, Chemistry, Bioinformatics, Geosciences, Biomedical Sciences, Biotechnology, etc.). Candidates about to obtain their degree are welcome to apply high motivation and interest in joining one of the interdisciplinary research areas of the JSMC creativity and interest in shaping your own thesis an integrative and cooperative personality with enthusiasm for actively participating in the lively JSMC and Microverse Community excellent English communication skills (written and spoken)

We offer:

a highly communicative atmosphere within a scientific network providing top-level research facilities doctoral researcher positions for 3 years (German TV-L E13, 65%) projects with wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary research network a comprehensive mentoring program with supervision by a team of advisors top-level PhD and career training programs with courses in state-of-the-art research technologies, transferable, and soft skills Jena - a German City of top-level Science: The University of Jena, together with the University Hospital and several Leibniz and Max Planck Institutes in Jena, Germany, join forces in the JSMC and the Cluster of Excellence! Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L) at the salary scale TV-L 13, depending on the candidate’s personal qualifications, including a special annual payment in accordance with the collective agreement. 30 days of vacation per calendar year, plus two days off on December 24 and 31 How to Apply: Refer to our individual job offers and apply by August 20, 2026.

Selected applicants will be invited to the JSMC Recruitment Meeting (an online interview).

The positions will be funded through the JSMC through the Thuringian State government (2026-2028) and subsequently through the Excellence Strategy of the German Federal and State governments (2029). The University of Jena and the participating research institutes are equal opportunity employers. Part-time contracts can be discussed. Candidates with severe disabilities will be given preference when their qualifications and suitability are equal.

Join us in exploring how microbial balance shapes life – and in unlocking its potential for a healthier future.

Candidater

[Autre] Assistant Professor in Geophysics, Stanford Doerr School of Sustainability à Stanford University, Doerr School of Sustainability, Geophysics Department

Thu, 23 Jul 2026 17:53:10 +0200

We invite applications for a tenure-track faculty position at the Assistant Professor level in the Department of Geophysics (https://geophysics.stanford.edu/) in the Stanford Doerr School of Sustainability. We welcome applications from any field of geophysics, broadly defined.

The Department of Geophysics is one of seven departments within the Doerr School of Sustainability (https://sustainability.stanford.edu/school/departments). Geophysicists study Earth and planetary processes through laboratory experiments, computational and theoretical modeling, remote imaging, and direct observation. The Department of Geophysics is unified through a common interest in physical processes and properties and the collection and use of geophysical data. Our interests span Earth’s interior, near-surface, oceans, and atmosphere, as well as planetary science.

The successful candidate will teach courses at undergraduate and graduate levels, advise students, and participate actively in the department and school communities. An overview of our degree programs can be found on our website.

Application materials need to be submitted online at this link. The deadline to submit your application is Monday, October 19, 2026. Late applications will not be accepted.

Applications must include:

Cover letter
Curriculum vitae
Contact information for three or more reference letter writers. Also, to ensure that our search process avoids real or perceived conflicts of interest, we require Stanford-affiliated candidates (those who obtained their PhD or completed postdoctoral studies at Stanford) to provide a minimum of four reference letters, with at least three coming from individuals not affiliated with Stanford.
Research statement (maximum 2 pages)
Teaching statement (maximum 1 page). We encourage applicants to review our degree programs and propose courses that draw upon their research expertise and interests, especially new courses that are complementary to our existing offerings.

The Department of Geophysics, Stanford Doerr School of Sustainability, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact disability.access@stanford.edu.

The expected base pay range for this position is $143,500 - $180,000. Stanford University has provided a base pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including years since terminal degree, training, and field or discipline; departmental budget availability; internal equity; and external market pay for comparable jobs.

For general questions regarding this position, please contact the Geophysics Department’s Director of Finance and Operations, Ronda Fenton, at dfo-geophysics@stanford.edu.

Candidater

[Autre] Tenure-Track Assistant Professor - Chemistry à University of Massachusetts Lowell

Fri, 17 Jul 2026 17:53:09 +0200

The Department of Chemistry at the University of Massachusetts Lowell is seeking to hire a new tenure-track faculty member. The Department presently consists of 26 full-time faculty and is growing. It offers B.S., M.S., and Ph.D. degrees in nearly every sub-discipline of the field. The successful candidate will be expected to teach Chemistry and/or Polymer Science at the undergraduate and graduate levels and develop an active, high quality, externally funded and internationally recognized research program.

The University of Massachusetts Lowell is an R1 institution committed to excellence in research, teaching, and community engagement. Located in Lowell, Massachusetts, our university offers a dynamic and innovative academic environment.

Minimum Qualifications (Required):

A Ph.D. in chemistry, polymer science, or a closely related discipline is required; postdoctoral experience is preferred.

Applicants at the Assistant Professor level are invited to apply. This search is open to all areas of chemistry, with specific interest in materials chemistry, broadly defined and including polymers; artificial intelligence, including applications to experimental design, data-driven discovery, and autonomous experimentation in chemistry; biophysics and biomaterials; and radiochemistry.

Special Instructions to Applicants:

This position is full-time, benefited and in the Massachusetts Society of Professors/MTA/NEA union. Anticipated salary based on qualifications within expected hiring range with minimum $75,000 up to $115,000.

Review of applications will begin immediately, and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received.

Please include the following required documents with your application:

Curriculum Vitae (CV)
Cover Letter
Teaching Statement/Philosophy
Research Statement
Names and contact information of three references will be required during the application process. *The references will be notified and should upload recommendation letters. Only recommendation letters that are uploaded to the system by the referee will be accepted. Emailed or hardcopy letters will not be accepted.

The University of Massachusetts Lowell welcomes all qualified applicants and complies with all state and federal anti-discrimination laws.

Candidater

[Autre] Bioinformatics Postdoctoral Fellow à UT Health - McWilliams School of Biomedical Informatics

Fri, 17 Jul 2026 17:53:09 +0200

Bioinformatics Postdoctoral Fellow
Data Science and Informatics Core for Cancer Research (DSICCR)
McWilliams School of Biomedical Informatics
University of Texas Health Science Center at Houston

Embark on a groundbreaking journey by applying for a postdoctoral position within the Data Science and Informatics Core for Cancer Research (DSICCR: https://sbmi.uth.edu/dsiccr/) at the University of Texas Health Science Center at Houston (UTHealth). We are eager to welcome highly motivated individuals to join the dynamic and innovative research environment in Dr. W. Jim Zheng's group (https://sbmi.uth.edu/faculty-and-staff/jim-zheng.htm) at the McWilliams School of Biomedical Informatics (MSBMI).

RESPONSIBILITIES: As a successful candidate, you will apply your chemistry and structure biology skills to play a pivotal role in study design, data collection, analysis pipeline development, data analysis, algorithm development, results interpretation, manuscript writing and proposal development for protein structure prediction projects. Your responsibilities will extend to collaborative research with esteemed faculty at UTHealth and other institutions, fostering a dynamic and interdisciplinary approach to AI and data science.

DSICCR is renowned for its productive track record in data science, informatics, and AI (https://sbmi.uth.edu/dsiccr/outcomes). Past postdoctoral fellows have made significant contributions to high-impact publications and played key roles in winning teams in national and international competitions, such as BioCreative and LitCoin NLP Challenge. Notable publications include works in JAMA (Zhu and Zheng, 320(11):1103-1104, 2018), Nature Communications (Yuan, et al., 12, 2031, doi:10.1038/s41467-021-22200-5, 2021), and Nucleic Acid Research (Yang, et al., 53(D1):D331-D339, 2025, PMID: 39530217)

As a member of our research community, you will benefit from comprehensive training in AI research and gain hands-on experience with DSICCR's advanced computing infrastructure (https://sbmi.uth.edu/dsiccr/resources). This includes access to a Hadoop cluster, a large memory server, several state-of-the-art Nvidia GPU servers (including the world's first Nvidia DGX H100 server), and High-Performance Computing (HPC) clusters at the Texas Advanced Computing Center.

Located in the heart of the Texas Medical Center in Houston, the fourth largest city in the United States, UTHealth offers a cosmopolitan setting for your academic and professional growth. Join us in our commitment to advancing the frontier of AI and data science applied to basic research and clinical practice. We look forward to welcoming an enthusiastic and dedicated postdoctoral fellow to contribute to our collaborative and innovative research environment.

APPOINTMENTS/BENEFITS: This is a full-time, 12-month appointment, renewable annually with comprehensive benefits. Anticipated postdoctoral training duration is 2-3 years with multiple fellowship support opportunities.

QUALIFICATIONS: The energetic and proactive individual should have a strong background and formal training in chemistry, structural biology, and small-molecule drug screening and development. Essential qualifications include solid experience in protein structure and related data analysis, with a proven record of published research. Hands-on experience with experimental structural methods such as cryo-EM, X-ray crystallography, or NMR along with the detailed understanding of protein secondary and tertiary structure behavior that comes from working in such an environment is strongly preferred. Programming skills is required and additional expertise in bioinformatics and quantitative and analytical science are a plus. Excellent teamwork, communication skills, and the ability to develop and maintain high-quality collaborations are required.

HOW TO APPLY: Note that all application materials must be submitted to https://careers.uth.tmc.edu/us/en/job/260001GW.The candidate should provide a current curriculum vitae and a cover letter describing qualifications and career goals as part of the application process.

SALARY: Comply with NIH postdoc salary standards based on the qualifications and experience.

Equal Opportunity Employer/Disability/Veteran

Candidater

[Autre] Senior Scientist (m/f/d) à Potsdam Institute for Climate Impact Research (PIK)

Thu, 16 Jul 2026 17:53:09 +0200

The climate needs bright minds. The Potsdam Institute for Climate Impact Research (PIK) addresses crucial scientific questions in the fields of global change, climate impacts and sustainable development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research.

For Research Department 3 - Transformation Pathways - PIK is offering a position as

Senior Scientist (m/f/d)

(Position number: 23-2026 Researcher NEWPATHWAYS)

in the field of integrated assessment modelling and climate change mitigation pathway analysis, starting on 01.11.2026.

The position is funded for 2 years and 5 months. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13 This is a full-time position with a working time of 40 hours per week. The position is suitable for part-time work that is close to full-time.

Key responsibilities:

Contribute strategically to international climate policy analysis at PIK using and developing integrated assessment modelling (REMIND-MAgPIE model) Lead the synthesis work package in the EU Horizon NEWPATHWAYS project on climate and development pathways, working closely with the principal investigator Prof. Dr. Elmar Kriegler (PI) and the project coordination at PIK Coordinate an integrated assessment model comparison on new global transformation pathways to inform the second Global Stocktake under the Paris Agreement Engage in stakeholder dialogues and outreach with international climate policymakers to share insights from scenario analyses Requirements:

A post-graduate degree (PhD/Dr) in economics, public policy, physics, engineering, operations research, environmental sciences, or a related field Strong analytical skills with a passion for applied modeling and scenario analysis Proven track record in publishing and presenting scientific work Programming experience (knowledge of R and/or GAMS is a plus) Experience in teamwork and collaborative coding (e.g. using github) is an asset We expect

Independent and initiative-driven work style Structured and goal-oriented thinking Strong communication skills Ability to work in interdisciplinary teams Excellent command of oral and written English Willingness to travel for project meetings and workshops Strong teamwork and organizational skills

We offer:

Creative Collaboration: Be part of an engaged, dynamic interdisciplinary team utilizing PIK’s renowned integrated assessment modeling framework, REMIND-MAgPIE. Global Impact: Play a key role in the exciting EU Horizon Project NEWPATHWAYS, working with an international consortium from four continents to develop strategies aligned with the Paris Agreement. Top Research: Push the modeling and analysis of climate change transformation pathways to a new frontier in a unique and internationally recognized research environment. Engagement Opportunities: Connect directly with stakeholders and provide high-level policy advice, turning your research into actionable change. A Beautiful Setting: Work in a stimulating environment on Potsdam’s stunning, historic Telegrafenberg campus, just a short commute from Berlin. Family-Friendly Benefits: Benefit from the company daycare center “Geolino,” located within walking distance of PIK in the Telegrafenberg science park Flexible Work Environment: Enjoy flexible hours and the option for mobile working (up to 50% of your time) Networking Potential: Collaborate with PIK’s extensive national and international network of leading climate and economic research institutes Competitive Compensation: Receive a collective pay scheme and associated benefits, including a subsidized travel card or Deutschland-Ticket Job Paid vacation: 30 days of paid vacation For Free: free charging stations for e-bikes on Telegrafenberg campus PIK values equality and diversity. We encourage applications without photos. All qualified applicants will receive consideration for employment regardless of ethnic and social origin, religion, sex, sexual orientation, gender identity, national origin, disability, care responsibilities, or age. PIK seeks to increase the share of women in scientific positions and therefore explicitly encourages women to apply. In cases of equal qualification and within the given legal scope, women will be given preference. PIK also encourages applications by parents returning from parental leave.

Please apply by 13.08.2026 directly via our application form below this job advertisement on our website.

If you hold an international higher education qualification, please also submit a certificate evaluation from the Central Office for Foreign Education (ZAB) with your application. If you do not yet have a transcript evaluation, please note that you may have to request one if your application is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html

For further information or to discuss the position, please contact David Hansmann.

Candidater

[Stage] Master 2 / Engineer Internship for NMR monitoring of oleaginous microalgae cultivations à Nantes University

Wed, 15 Jul 2026 17:53:08 +0200

Context: Oleaginous microalgae are a source of biomass rich in oil (or triacylglycerol, TAG), an energetically dense class of molecules generated by esterification of fatty acids (FAs). FAs are carbon chains of various structures, which can be of interest to different industrial sectors, from very long-chain polyunsaturated GAs for food, health and cosmetics, to monounsaturated/saturated GAs for commodity chemistry and biofuels. Oil from algae is therefore one of the most promising renewable alternatives to fossil hydrocarbons. As part of the B-BEST priority research program and equipment, the diatom Phaeodactylum tricornutum (PT) will be studied, as it is known to produce large quantities of lipids as TAGs droplet form in the extracellular medium.

The CEISAM and GEPEA laboratories involved in the ALGADVANCE project have a 6-year collaboration in which they demonstrated, as part of the AMER-METAL project, that Nuclear Magnetic Resonance (NMR) spectroscopy gives precise access to the identity and quantity of microalgal lipids [1] directly on the whole biomass, thanks to high magnetic field instruments. On the other hand, compact NMR devices [2] were able to monitor the lipid production of microalgae, thanks to signal elimination from the water medium [3] during 15 days of culture by coupling a photobioreactor [4].

References:

[1] Dylan Bouillaud, these de doctorat, 2017-2020, Multiscale NMR analysis of the microalgae metabolism

[2] Castaing-Cordier, T.; Bouillaud, D.; Farjon, J.; Giraudeau, P. Recent Advances in Benchtop NMR Spectroscopy and Its Applications. In Annual Reports on NMR Spectroscopy; Academic Press, 2021. https://doi.org/10.1016/bs.arnmr.2021.02.003.

[3] Bouillaud, D.; Heredia, V.; Castaing-Cordier, T.; Drouin, D.; Charrier, B.; Gonçalves, O.; Farjon, J.; Giraudeau, P. Benchtop Flow NMR Spectroscopy as an Online Device for the in Vivo Monitoring of Lipid Accumulation in Microalgae. Algal Research 2019, 43, 101624. https://doi.org/10.1016/j.algal.2019.101624.

[4] Bouillaud, D.; Drouin, D.; Charrier, B.; Jacquemmoz, C.; Farjon, J.; Giraudeau, P.; Gonçalves, O. Using Benchtop NMR Spectroscopy as an Online Non-Invasive in Vivo Lipid Sensor for Microalgae Cultivated in Photobioreactors. Process Biochemistry 2020, 93, 63–68. https://doi.org/10.1016/j.procbio.2020.03.016.

Profil recherché :
Profile: Candidates must hold an Engineer school training / Master's degree in (Bio)Analytical Chemistry or Physical Chemistry and have a solid theoretical knowledge in NMR. Previous experience in this field (internship) is appreciated but not essential. The engineer / master https://www.st-malo-hotel-cunningham.com/will also need to be open-minded, given the interdisciplinary and collaborative nature of the project, carried out between two laboratories in the Nantes area. This recruitment will offer a unique opportunity to become involved in innovative developments in NMR, at the interface between spectroscopy, analytical chemistry, biology and process engineering. This recruitment will offer a unique opportunity to a Master / Engineer to be involved in the application of high and low field NMR to a better understanding of the lipidic metabolism of microalgae. The internship will last 6 months from February 2027 with a possible extension of 5 months.

Candidater

[Contrat doctoral] Propriétés optiques non linéaires des nanoparticules harmoniques pour des applications en imagerie infrarouge profonde à Université Savoie Mont Blanc - Laboratoire SYMME

Wed, 15 Jul 2026 17:53:08 +0200

Les nanoparticules ferroélectriques sont composées par des matériaux de type LiNbO₃, BiFeO₃, LiTaO₃ et sont connus sous le nom de « Nanoparticules Harmoniques ». En raison de leur structure cristalline non-centrosymétrique, elles possèdent des propriétés optiques non-linéaires extrêmement riches [1] utiles pour des applications en imagerie multiphotonique [2]. Cela concerne le diagnostic précoce de cellules cancéreuses, le relargage ciblé et à la demande de molécules anticancéreuses ou plus récemment le suivi de cellules couches. L’objectif de cette thèse est de caractériser les propriétés optiques non linéaires des nanoparticules en s’appuyant sur un système de microscopie multiphotonique développé au sein de notre laboratoire [3]. Ce dispositif expérimental intègre une source laser femtoseconde accordable sur une large plage de longueurs d’onde, offrant ainsi des capacités pour des études de spectroscopie non linéaire. Une attention particulière sera portée sur la troisième fenêtre biologique infrarouge (1600-1870 nm) [2]. Dans cette gamme de longueurs d’onde identifiée, mais encore peu étudiée, les tissus absorbent et diffusent moins la lumière, ce qui facilitent les applications en imagerie profonde.

[1] Bonacina, L. Nonlinear Nanomedecine: Harmonic Nanoparticles toward Targeted Diagnosis and Therapy, 2012-11 Molecular Pharmaceutics, Vol. 10, No. 3 American Chemical Society (ACS) p. 783-792. https://pubs.acs.org/doi/10.1021/mp300523e

[2] Vittadello, L. et al. Nanomaterials 2021, 11, 3193. https://doi.org/10.3390/nano11123193

[3] Riporto, J., et al. Second harmonic spectroscopy of ZnO, BiFeO₃ and LiNbO₃ nanocrystals 2019-03 Optical Materials Express, Vol. 9, No. 4 The Optical Society. 1955 https://doi.org/10.1364/OME.9.001955

Travail demandé

Ce travail de thèse sera essentiellement expérimental et demande une présence sur place avec la possibilité de télétravail limité. Il sera encadré par Laura Vittadello dans le cadre d’une chaire de Professeur Junior.

Dès le début de son travail de recherche, le/la doctorant·e prendra en charge les tâches suivantes :

Prise en main de la plateforme de microscopie – apprentissage de l’alignement et du pilotage.
Mesure des signaux optiques émis par différents type de nanoparticules (LiNbO₃, BiFeO₃, LiTaO₃) pour étudier l’efficacité des différents processus non-linéaires.

Environnement de travail

Le/la doctorant·e évoluera au sein d'un environnement interdisciplinaire. Il/elle travaillera en synergie directe avec l'équipe chargée de la synthèse et de la fabrication des nanoparticules (il n'est pas prévu que le candidat participe à la synthèse des nanoparticules), offrant une vision globale du projet allant de la science des matériaux jusqu'aux applications optiques avancées. De plus, il/elle pourra se former à l'utilisation d'outils de caractérisation disponibles au laboratoire, tels que la DRX, l’AFM et le MEB. L’apprentissage de compétences transverses, telles que la communication et la vulgarisation scientifique, sera pleinement valorisé au cours du projet. De plus, la participation aux réunions d’avancement au sein de notre réseau de collaborateurs (Université de Genève, EPFL, …) et à des conférences nationales et internationales dans le domaine sera fortement encouragée pour présenter les travaux de recherche.

Profil recherché :
Titulaire d’un Master 2 ou d’un diplôme d’ingénieur·e en physique expérimentale, optique ou photonique, le/la candidat·e devra avoir une expérience en laboratoire d'optique et/ou microscopie optique. Des compétences en nanomatériaux et analyses de données (via matlab/python) seront un atout. Un bon niveau en anglais est indispensable.

Candidater

[Contrat doctoral] Engineering of Plasmonic Hybrid Electrodes Passivated and Densified by IBAD for Organic Light-Emitting Diodes à Institut XLIM

Wed, 15 Jul 2026 17:53:08 +0200

To replace indium tin oxide (ITO) in flexible optoelectronics (OLEDs, photovoltaics), silver nanowire (AgNW) networks represent a viable and promising alternative. However, two major bottlenecks limit their industrialization: their high surface roughness, which causes short-circuits across thin organic active layers, and their chemical instability against atmospheric oxidation. To address these challenges, the ELITE team at XLIM has developed a protective multilayer configuration and surface functionalization techniques to lower both resistance and roughness while improving optical transmittance. On the electronic level, this functionalization drastically decreases the work function of the nanowires, reducing charge injection barriers. In parallel, the generation of hot electrons via the non-radiative damping of surface plasmons on AgNWs is attracting growing interest. To exploit these carriers, the metal/oxide interface must be perfectly controlled. A conventional solution-processed deposition of ZnO nanoparticles produces a porous film rich in electronic trap states that quench the hot carriers. Vacuum-based ion beam-assisted deposition (IBAD) enables the deposition of nanometrically thin, dense oxide layers at room temperature. The assisting ion bombardment densifies the film and modifies its band structure.

This PhD project aims to achieve a technological leap by combining these approaches within a single flexible OLED architecture. The primary objectives are:

Control the microstructure and energy level alignment of oxides deposited at low temperatures on the XLIM PLATINOM platform, leveraging IBAD-driven densification to optimize hot electron transfer.
Achieve a passivation by combining the grafting of nitrogen-containing molecules with the deposition of dense oxides to quench surface defects (such as oxygen vacancies) and precisely tune the work function.
Map the band alignment in ambient air using PYSA to correlate the physical parameters of the IBAD deposition and organic grafting with the effective work function.

Profil recherché :
The successful candidate must hold a Research Master’s degree (Master 2) in Materials Physics, Nanotechnology, Optoelectronics, or Organic Electronics, and should exhibit an interdisciplinary profile at the interface of solid-state physics, materials science, and nanotechnology. The ideal candidate should have a strong interest in laboratory work and physical vapor deposition (PVD) techniques. They could possess solid knowledge in semiconductor physics, ideally in plasmonics, as well as in surface characterization techniques such as AFM, SEM, ellipsometry, and absorption or emission spectroscopy. Rigorous, autonomous and self-motivated, the candidate will be expected to independently manage materials synthesis through to their final integration into complex optoelectronic devices. They must demonstrate excellent teamwork skills to actively collaborate with researchers from the XLIM team and engineers from the PLATINOM platform, while also displaying strong communication skills to draft scientific papers and present their work in English.

Candidater

[CDI] Wonderwoman / Superman : market-driven mechatronics engineering à Microfluidics Innovation Center

Wed, 15 Jul 2026 17:53:08 +0200

You join MIC’s Research & Innovation (R&I) team. R&I develops advanced microfluidic technologies to maximise their impact across highly varied fields: cell biology, soil remediation, water treatment, materials science… We work within collaborative research projects with the best European labs, with one goal: building microfluidic solutions that fit the market and the consortia.

The role mixes PCB design (and firmware development) with lab work alongside our microfluidics team. You also take part in the design, build, testing and iteration of fluidic instruments and platforms, integrating sensors, pumps or controllers to meet the expectations of our partners and the market. You drive the developments tied to electronics and embedded systems, adapting existing technologies to the specifics of microfluidics. The role is ideal for someone with solid foundations in electronics and/or embedded systems, hungry for mechanical integration, fluidics and applied research.

Whether you have experience or not is not what matters most to us. What matters is your mindset, your curiosity, your positive energy and your ability to learn!

Here’s your role:

You drive the electronics development of our instruments and platforms: analog and digital circuit design, power electronics, PCB and firmware development
With the rest of the R&I team, you deliver prototypes to our partners and clients, and you iterate on new versions from their feedback
You engage directly with leading scientists across Europe on exciting collaborative research projects
You understand and combine the needs of the market and of our academic partners to maximise the impact of our innovations
You stay constantly tuned in to research needs to help us steer our work

Profil recherché :
Your profile: You hold a Master’s in mechatronics, electrical engineering or equivalent You master software development, electronics, automation and instrumentation. More precisely: You have experience in the design, assembly, soldering and troubleshooting of PCBs You are comfortable with programming (ideally C/C++) You have already developed on a 32-bit microcontroller from a well-known family (STM32, Microchip…) You know communication protocols (UART, I2C…) You have a grasp of RTOS basics (multithreading, signals, mutexes…) You pair rigour with autonomy You keep an open mind and you take on the challenges outside your comfort zone You have a good level of English: most exchanges with colleagues and partners happen in English A first experience in mechatronics (internship, student society or personal project), along with hands-on use of collaborative development platforms (GitHub), are a plus You're skilled at prompt engineering and AI tools to go further, faster, right by our side ➔ At MIC, we like: people of action, creatives, the autonomous, the curious, people demanding with themselves but who take care of those around them. Those who act more than they talk, those who want an intense life, full of contrasts. Those who bring croissants!

Candidater

[CDI] Wonderwoman / Superman: scouting and writing European projects à Microfluidics Innovation Center

Wed, 15 Jul 2026 17:53:08 +0200

As a microfluidics and valorisation partner within European consortia, MIC submits several dozen projects a year. Your role: strengthen the proposal with MIC’s microfluidic technologies and sharpen the project’s valorisation strategy.

Here’s your role:

You handle the writing of European proposals quickly and efficiently, with funding as the goal
You work across a wide range of scientific fields
You define projects directly with the CEO, and discuss them with partners over video calls and email
You reply fast to our outreach emails to researchers: 24 hours is a lot, 48 hours is an eternity

Profil recherché :
Your profile in 6 points: You hold a PhD and/or a Master’s in science You're skilled at prompt engineering and AI tools to go further, faster, right by our side You have a solid scientific background and genuine technological curiosity You think in terms of market and valorisation You’re action-driven, and you like stringing actions together all the way to success Your English is flawless, both written and spoken ➔ At MIC, we like: people of action, creative minds, self-starters, the curious, people who are demanding of themselves but take care of those around them. Those who do more than they talk, those who want an intense life full of contrasts. Those who bring croissants!

Candidater

[Stage] Biodisponibilité des oméga-3 d’origines végétales à INRAE

Wed, 15 Jul 2026 17:53:08 +0200

Les galactolipides sont des lipides omniprésents dans les membranes des chloroplastes des végétaux, qu’il s’agisse de plantes terrestres ou d’algues. Dans ces systèmes, ils représentent environ 77% des stocks en acides gras. Riches en acides gras polyinsaturés, ils constituent des sources potentielles et durables d’oméga-3 d’intérêt pour l’alimentation humaine. Cependant, la digestion et le devenir digestif des galactolipides restent encore mal connus. Afin de pouvoir étudier les propriétés digestives de ces molécules, il est indispensable d’en extraire et purifier des quantités suffisantes.
Les galactolipides obtenus seront incorporés dans des émulsions modèles, en parallèle avec les systèmes constitués de phospholipides ou de triglycérides de synthèse, qui seront administrés par gavage oral à des souris modèles. Le travail d’extraction, de purification et de formulation des émulsions de galactolipides sera mené à partir de plusieurs sources végétales présentant des compositions différentes en galactolipides. La biodisponibilité in vivo de ces systèmes sera ensuite comparée à celles de sources d’oméga-3 de référence, constituées de phospholipides ou de triglycérides. Ce volet in vivo chez la souris sera réalisé en collaboration avec l’équipe CarMen (INRAE U1397, INSERM U1060, Lyon).
Les objectifs de ce stage sont (1) d’extraire et de purifier des galactolipides riches en oméga-3 depuis différentes sources végétales, (2) de formuler et de caractériser les émulsions contenant ces galactolipides, ou des phospholipides ou triglycérides de synthèse, qui seront utilisées dans l’étude in vivo.

Programme scientifique et technique
1. Extraire et purifier des galactolipides riches en oméga-3 à partir de sources végétales
2. Formuler et étudier la stabilité des émulsions de galactolipides, de phospholipides, et de triglycérides modèles.

Profil recherché :
- Compétences en chimie analytique - Intérêt marqué pour la nutrition - Autonomie - Sens des responsabilités - Rigueur scientifique - Anglais scientifique (lecture et rédaction)

Candidater

[Contrat doctoral] JOBREQ_50266218 Thèse CIFRE (H/F) - Evaluation du risque de défaillance des moteurs électriques en architecture 800V en conditions transitoires de décharges partielles à RENAULT SAS

Wed, 15 Jul 2026 17:53:08 +0200

Contexte

Renault Group vous offre l’opportunité de réaliser une thèse en environnement industriel, en collaboration avec des partenaires académiques, sur une thématique innovante et stratégique pour le développement des véhicules électriques.

La montée en tension des chaînes de traction des véhicules électriques, jusqu’à 800 à 900 V, accroît les contraintes sur les systèmes d’isolation. Le principal risque est l’apparition de micro-décharges localisées, appelées décharges partielles (DP), qui se développent dans des défauts ou des cavités sans provoquer immédiatement de claquage. Bien que de faible énergie, elles entraînent une dégradation progressive pouvant conduire à la défaillance.

La thèse vise ainsi à évaluer le risque de défaillance, en modélisant les mécanismes des DP, encore partiellement compris, et en identifiant des indicateurs permettant d’établir des lois de vieillissement. La thèse est basée au Technocentre de Guyancourt et se déroulera sur trois ans.

Vos missions

La thèse débutera par la prise en main et l’enrichissement d’un modèle fluide 2D auto cohérent déjà existant, basé sur les équations de drift-diffusion couplées à l’équation de Poisson, afin de décrire finement l’évolution du champ électrique, des densités de charges et des interfaces. Une attention particulière sera portée aux mécanismes d’entretien de la décharge, encore imparfaitement compris. En particulier, le rôle de la photo‑ionisation dans le volume et de la photo‑émission aux surfaces.

Dans un second temps, un modèle 1D simplifié, plus rapide numériquement, sera développé et codé en conservant les mécanismes physiques dominants. Il intégrera une chimie plasma et permettra d’explorer un large domaine de conditions opératoires. Les indicateurs issus du modèle (énergie dissipée, production d’espèces oxydantes, flux d’UV) seront corrélés à des résultats expérimentaux d’endurance sous DP, obtenus en collaboration avec un partenaire académique externe, afin d’établir des lois de vieillissement.

Enfin, ces lois seront exploitées avec les équipes Renault afin d’évaluer la tenue des systèmes d’isolation sur des profils d’usage réalistes et d’en déduire les taux de défaillance pour un véhicule cible.

Profil recherché :
Qui êtes-vous ? Vous souhaitez réaliser une thèse en environnement industriel tout en menant des travaux de recherche en physique des plasmas froids, en vous appuyant sur des outils numériques avancés. Vous souhaitez travailler sur des problématiques concrètes à fort impact, avec une approche scientifique rigoureuse. Vous avez un goût prononcé pour la recherche et la modélisation numérique. Votre formation vous a apporté de solides connaissances en physique des plasmas. Vous maîtrisez MATLAB et êtes à l’aise avec la résolution de systèmes d’équations complexes. Des compétences en simulation multiphysique ou en programmation scientifique constituent un atout. Autonome, rigoureux(se) et doté(e) d’un esprit d’analyse, vous savez traiter des problématiques complexes et mener des travaux exigeants. Vous appréciez le travail en équipe et les interactions avec des environnements académiques et industriels.

Candidater

[Contrat doctoral] Thèse 2026: Modélisation des transformations microstructurales dans les aciers automobiles assemblés par soudage laser à Centre de Mise en Forme des Matériaux (CEMEF)

Wed, 15 Jul 2026 17:53:08 +0200

Ce projet de doctorat CIFRE, mené en partenariat avec Arcelor Mittal (site de Montataire), vise à développer des outils prédictifs des transformations métallurgiques intervenant lors du soudage laser des aciers automobiles.

L’objectif est de limiter la formation de phases indésirables et de défauts métallurgiques, afin d’optimiser l’opération de soudage et les propriétés mécaniques de l’assemblage final. Il s’agira, à cet effet, de pouvoir coupler des modèles de simulation thermohydrauliques du soudage laser, aux évolutions microstructurales induites, à une échelle fine.

Dans ce cadre, les travaux de thèse visent, ainsi, à développer et valider un outil de modélisation numérique permettant de prédire et maîtriser les microstructures des soudures laser réalisées sur des aciers automobiles revêtus, en fonction, notamment, des conditions de solidification et des vitesses de refroidissement. A terme, le projet vise à contribuer à la mise en place d’une solution logicielle accessible aux utilisateurs industriels, offrant un accès direct aux résultats et aux outils issus de ces travaux de recherche.

Ce projet de recherche se réalisera dans le cadre d’un doctorat CIFRE, en partenariat direct avec Arcelor Mittal (site de Montataire). Dans ce cadre, un suivi continu et des interactions régulières avec Arcelor Mittal sont attendues, pour progresser vers les objectifs affichés.

Ce projet vise, ainsi, à amener à une meilleure maitrise du soudage laser des aciers automobiles, en réponse aux problématiques industrielles affichées. Le doctorant.e recruté.e sera, en conséquence, amené à développer des compétences fortes dans le domaine de la modélisation numérique des procédés industriels.

Ce projet représentera, à terme, une avancée technologique indéniable dans la maitrise des assemblages laser des tôles automobiles.

plus de détail ici :

https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/06/These_v2026_Arcelor_Mittal.pdf

Profil recherché :
Ingénieur ou Master 2, dans les domaines du numérique, des matériaux, de la mécanique ou des mathématiques appliquées. Etudiant(e) attiré(e) par les problématiques liées à la modélisation et la simulation numérique des phénomènes physiques en science de l’ingénieur, en contexte industriel.

Candidater

[CDI] Ingénieur Expérimenté Fusion de Données à ÆGIR

Wed, 15 Jul 2026 17:53:08 +0200

Description du poste

Dans le cadre de sa croissance rapide, ÆGIR recherche un ingénieur expérimenté en algorithmie et fusion de données. Vous jouerez un rôle central dans la conception des briques critiques du système, la veille technique et l’exploration rapide de nouvelles méthodes, la revue de code, la qualité de code et le déploiement des briques algorithmiques.

Le poste est localisé à Lyon avec télétravail partiel possible. Des déplacements ponctuels sont à prévoir en France et en Europe. Ce poste est fortement orienté terrain, au contact direct des utilisateurs finaux, tout en exigeant une capacité à dialoguer avec des interlocuteurs très techniques, institutionnels et industriels.

Profil recherché :
Profil recherché Expérience significative (5 ans+) en développement d’algorithmes (Python/Rust) et en analyse de données. Très bon niveau en mathématiques appliquées et algorithmie : probabilités/statistiques, recherche opérationnelle, etc. et une appétence pour la physique et la compréhension des phénomènes est un plus Appétence pour le code propre, robuste et testé. Attirance forte pour les environnements startup, deeptech et surtout défense et sécurité. Excellent relationnel, capacité à collaborer les équipes techniques et à dialoguer avec les utilisateurs finaux. Curiosité, autonomie, rigueur, et forte envie de contribuer à un projet ambitieux à fort impact.

Objectifs :
Missions Concevoir et développer des algorithmes innovants de : fusin multi-capteurs ; filtrage et suivi de cibles ; ptimisation sous contraintes ; traitement et analyse de dnnées. Traduire des problématiques opérationnelles en modèles physiques et mathématiques exploitables. Développer des bibliothèques et services en Rust et Python. Concevoir des architectures logicielles robustes et maintenables.

Candidater

[Contrat doctoral] PhD position (IA + Geophysics) : Pipeline leak detection using electromagnetic scanning powered by distributed AI (LEAK-SCAN) à CESI

Wed, 15 Jul 2026 17:53:08 +0200

The future PhD student will be registered at ENSAM (École nationale supérieure d'arts et métiers ).

Research Work

Scientific Context

Water leakage in urban underground pipelines can not only bring economic loss due to the wastage, but also can lead to structural damages of roads and buildings, which brings severe problems in the city infrastructure management. Addressing these issues requires efficient detection to minimize the impact on public safety. There are several methods for detecting water leaks, such as pressure/flow sensors or fiber optics, but they require sensors to be installed in advance. To complete the existing techniques, in this study, we will explore the application of ground penetrating radar (GPR) to detect underground water leakage, because GPR is non-destructive and high-efficient way.

Thesis Objective

This thesis aims to detect water leakages without the need for excavation based on radar methods. The physical basis of radar depends on the dielectric contrast between dry and wet soil around the pipes. This contrast appears as an anomaly in the radargram, providing an indication of the potential leak location.

Based on the previous research works, Leak-scan proposes to use 3D GPR data to optimize the detection process powered by AI techniques. Its objectives contain (1) inverse the time-domain data into spatial domain based on full wave inversion (FWI); (2) combine the simulated data with experimental data to build hybrid dataset, (3) use learning-based methods to detect the GPR images with and without leakage.

Concretely, this doctoral project will aim to design a comprehensive GPR detection solution. Indeed, to implement this technique with high precision and obtain a real-time view of the soil condition, certain scientific hurdles remain to be overcome. The challenge lies in identifying water leaks with the consideration of the nature of soils, the multi-layered structure in the urban trench construction, the volume of leaked water, and the pipe dimensions, etc. Meanwhile, the AI modeling of wave propagation in the ground will be applied in the interpretation of data. This process is supported by a federated learning infrastructure that combines data from multiple sources to build a global perspective. The entire framework leverages an edge-cloud infrastructure to ensure real-time responsiveness.

The data used in this thesis will be a hybrid one: the combination of the collected experimental data from the Project Radir and the simulated data from gprMax.

Thesis Work Planning

The provisional work plan is detailed as follows :

— Enrollment in Doctoral School 432 (ED SMI 432 - SCIENCES DES MÉTIERS DE L'INGÉNIEUR), state of the art review, and definition of a research methodology.

— Modeling the behavior of electromagnetic waves in unsaturated soil, paper submission.

— Development of a reliable and efficient PINNs-FWI model for the detection and characterization of water leaks. Paper submission

— Proposal of innovative methods for optimizing AI models and distributed computing, and paper submission

— Evaluation of field strategies for the experiments obtained by Project Radir, article submission

— Dissertation manuscript written, presentation of results, defense.

Expected Scientific/Technical Output

● The research results are expected to be published in top-tier international conferences and journals.

● The thesis will lead to the development of a complete GPR solution for pipeline leak detection

Profil recherché :
Pré-requis du poste Required Competences Scientific and technical skills in one or more of the following areas: — Strong mathematical skills, particularly in convex and non-convex optimization, matrix theory, and probability. — Strong background in signal processing, such as detection and estimation theory. — Background with electromagnetic wave and Maxwell equations is appreciated — Experience with gprMax is appreciated — Proficiency in key AI techniques, experience with PyTorch or TensorFlow would be appreciated. — Strong programming and networking skills. — Interest in high-performance computing. Soft skills: — Good level of written and spoken English. — Ability to work independently, with initiative and curiosity. — Ability to work in a team and maintain good interpersonal relations. — Attention to detail and rigor.

Candidater

[CDI] Wonderwoman / Superman : Ingénierie mécatronique orientée marché à Microfluidics Innovation Center

Wed, 15 Jul 2026 17:53:08 +0200

Tu rejoins l’équipe Recherche & Innovation (R&I) du MIC. La R&I développe des technologies de pointe en microfluidique, pour maximiser l’impact de cette technologie dans des domaines très variés : biologie cellulaire, dépollution des sols, traitement de l’eau, science des matériaux… Nous travaillons dans le cadre de projets de recherche collaboratifs avec les meilleurs laboratoires européens : objectif développer les solutions microfluidiques adapté au marché et aux consortiums.

Le poste est un mélange de conception de PCB (développement firmware) et de travail en laboratoire avec notre équipe microfluidique. Tu participes également à la conception, la réalisation, les tests et les itérations d’instruments et de plateformes fluidiques, en intégrant capteurs, pompes ou contrôleurs pour répondre aux attentes de nos partenaires et du marché. Tu pilotes les développements qui touchent à l’électronique ou aux systèmes embarqués, en adaptant les technologies existantes aux spécificités de la microfluidique. Le poste est idéal pour quelqu’un avec de solides bases en électronique et/ou systèmes embarqués, et avide d'intégration mécanique, de fluidique et de recherche appliquée.

Que tu aies de l’expérience ou non, ce n’est pas ce qui compte le plus pour nous. Ce qui compte, c’est ton état d’esprit, ta curiosité, ton énergie positive et ta capacité à apprendre !

Voici ton rôle :

Tu pilotes le développement électronique de nos instruments et plateformes : conception de circuits analogiques et numériques, électronique de puissance, PCB et développement firmware
Avec le reste de l’équipe R&I, tu livres des prototypes à nos partenaires et nos clients, et tu itères sur de nouvelles versions à partir de leurs retours
Tu échanges avec des scientifiques de premier plan partout en Europe sur des projets de recherche collaboratifs stimulants
Tu comprends et tu combines les besoins du marché et de nos partenaires académiques pour maximiser l’impact de nos innovations
Tu restes constamment à l'écoute des besoins de la recherche pour nous aider à orienter nos travaux

Profil recherché :
Ton profil : Tu as un Master en mécatronique, génie électrique ou équivalent Tu maîtrises le développement logiciel, l’électronique, l’automatisation et l’instrumentation. Plus précisément : Tu as de l’expérience dans la conception, l’assemblage, le soudage et le dépannage de PCB Tu es à l’aise en programmation (idéalement en C/C++) Tu as déjà développé sur un microcontrôleur 32 bits d’une famille connue (STM32, Microchip…) Tu connais les protocoles de communication (UART, I2C…) Tu as des notions de RTOS (multithreading, signaux, mutex…) Tu allies rigueur et autonomie Tu as l'esprit ouvert et tu relèves les défis hors de ta zone de confort Tu possèdes un bon niveau d’anglais : la plupart des échanges avec les collègues et partenaires se font en anglais Une première expérience en mécatronique (stage, association étudiante ou projet perso), ainsi qu’une pratique des plateformes de développement collaboratif (GitHub), sont un plus Tu as un fort attrait, ou déjà une pratique, des outils IA dans ton travail au quotidien ➔ Au MIC, on aime : Les gens d’actions, les créatifs, les autonomes, les curieux, les gens exigeants avec eux-mêmes mais qui prennent soin de leur entourage. Ceux qui font plus qu’ils ne parlent, ceux qui veulent une vie intense et contrastée. Ceux qui ramènent des croissants ! Mots clefs de référencement : ingénieur mécatronique, mécatronique, ingénieur électronique, systèmes embarqués, conception PCB, développement firmware, électronique analogique et numérique, électronique de puissance, microcontrôleur 32 bits, 64 bits, STM32, Microchip, programmation C/C++, protocoles de communication, UART, I2C, RTOS, instrumentation, automatisation, génie électrique, prototypage électronique, ingénieur systèmes embarqués, ingénieur firmware, microfluidique, deeptech, biotechnologie, recherche collaborative, incubateur deeptech, spin-off, innovation technologique, outils IA, GitHub, , recrutement mécatronique, job deeptech Paris, ingénieur R&D, entrepreneuriat, intrapreneuriat, intrapreneur, étude de marché.

Candidater

[Contrat doctoral] MAINTENANCE PREDICTIVE INTELLIGENTE POUR UAVs : APPROCHE BASEE SUR LE JUMEAU NUMERIQUE à Ecole Supérieure des Techniques Aéronautique et de la Construction Automobile (ESTACA)

Wed, 15 Jul 2026 17:53:08 +0200

Les véhicules aériens sans pilote (UAVs) connaissent un développement rapide dans de nombreux secteurs tels que l'inspection d'infrastructures, l'agriculture de précision, la logistique, la sécurité civile ou encore la défense. Cette démocratisation s'accompagne d'exigences croissantes en matière de sûreté, de disponibilité et de fiabilité, conformément aux réglementations européennes (SORA). Dans ce contexte, la maintenance constitue un enjeu majeur, les composants critiques des UAVs – notamment les systèmes de propulsion – étant soumis à des phénomènes de vieillissement et de dégradation susceptibles d'entraîner des défaillances coûteuses, voire des pertes de mission.

Les approches actuelles de maintenance reposent principalement sur des inspections périodiques ou sur l'analyse a posteriori des données de vol. Elles ne permettent pas d'anticiper efficacement l'apparition des défaillances ni d'optimiser les opérations de maintenance.

L'objectif de cette thèse est de développer une nouvelle approche de maintenance prédictive reposant sur l'intégration d'un jumeau numérique alimenté en temps réel par les données issues des capteurs embarqués et du contrôleur de vol, associé à des méthodes avancées d'intelligence artificielle et de Deep Learning. Cette approche permettra de surveiller en continu l'état de santé des systèmes de propulsion, de détecter précocement les anomalies, d'estimer la durée de vie résiduelle (Remaining Useful Life - RUL) des composants critiques et d'optimiser les décisions de maintenance.

Les développements seront validés expérimentalement à partir de bancs d'essais instrumentés et de campagnes expérimentales sur UAVs réels, afin de démontrer la robustesse, la précision et le potentiel de transfert industriel des méthodes proposées.

Profil recherché :
Le doctorant ou la doctorante sera intégré(e) au laboratoire ESTACA'Lab et aura pour missions de : Réaliser un état de l'art sur les jumeaux numériques, la maintenance prédictive et l'intelligence artificielle appliqués aux UAVs. Développer un jumeau numérique temps réel de la chaîne de propulsion des drones. Concevoir des modèles de Deep Learning pour la détection d'anomalies, le diagnostic et la prédiction de la durée de vie résiduelle des composants. Développer des méthodes de fusion de données multi-capteurs (IMU, ESC, moteurs, batterie, contrôleur de vol, etc.). Concevoir une architecture de surveillance embarquée pour l'estimation en ligne de l'état de santé du système. Réaliser les campagnes expérimentales sur bancs d'essais et sur drones instrumentés. Évaluer les performances des méthodes proposées selon des critères de robustesse, de précision, de temps de calcul et de généricité. Valoriser les travaux de recherche par des publications dans des revues internationales de premier plan et des conférences scientifiques, ainsi que par le développement de démonstrateurs technologiques en partenariat avec les industriels.

Candidater

[Contrat doctoral] INTELLIGENT PREDICTIVE MAINTENANCE FOR UAVs: A DIGITAL TWIN-BASED APPROACH à Ecole Supérieure des Techniques Aéronautique et de la Construction Automobile (ESTACA)

Wed, 15 Jul 2026 17:53:08 +0200

Unmanned Aerial Vehicles (UAVs) have experienced rapid growth across a wide range of application domains, including infrastructure inspection, precision agriculture, logistics, civil security, and defense. This widespread adoption is accompanied by increasingly stringent requirements in terms of safety, availability, and reliability, in compliance with European regulations such as the Specific Operations Risk Assessment (SORA) framework. In this context, maintenance has become a major challenge, as critical UAV components—particularly propulsion systems—are subject to aging and degradation processes that may lead to costly failures or even mission loss.

Current maintenance strategies primarily rely on scheduled inspections or post-flight analysis of recorded flight data. These approaches do not enable effective anticipation of failures nor optimization of maintenance operations.

The objective of this PhD project is to develop an innovative predictive maintenance framework based on the integration of a Digital Twin continuously updated in real time using data collected from onboard sensors and the flight controller, combined with advanced Artificial Intelligence (AI) and Deep Learning techniques. This framework will enable continuous health monitoring of UAV propulsion systems, early anomaly detection, estimation of the Remaining Useful Life (RUL) of critical components, and optimization of maintenance decision-making.

The proposed methods will be experimentally validated using instrumented propulsion test benches and experimental campaigns on real UAV platforms in order to demonstrate their robustness, accuracy, and potential for industrial deployment.

Profil recherché :
MAIN RESPONSIBILITIES : The PhD candidate will join ESTACA'Lab and will be responsible for : Réaliser un état de l'art sur les jumeaux numériques, la maintenance prédictive et l'intelligence artificielle appliqués aux UAVs. Conduct a comprehensive literature review on Digital Twins, predictive maintenance, and Artificial Intelligence applied to UAVs. Develop a real-time Digital Twin of UAV propulsion systems. Design Deep Learning models for anomaly detection, fault diagnosis, and Remaining Useful Life (RUL) prediction. Develop multi-sensor data fusion methods using IMUs, ESCs, motors, batteries, flight controllers, and onboard sensors. Design an embedded health monitoring architecture for online health state estimation. Conduct experimental campaigns using instrumented test benches and UAV platforms. Evaluate the proposed methods in terms of robustness, accuracy, computational efficiency, and generalization capability. Disseminate research results through publications in leading international journals and conferences, and through technological demonstrators developed with industrial partners.

Candidater

[Contrat doctoral] Theory and Algorithms for Discrete Generative Modeling à INSA LYON

Wed, 15 Jul 2026 17:53:08 +0200

Discrete generative modeling is essential for learning complex distributions over structured data
such as text, graphs, and biological sequences. Developing and understanding models for dis-
crete spaces is therefore a key challenge in modern machine learning, with broad implications
for both theory and applications.
The PhD project focuses on the theoretical foundations and algorithmic design of discrete gener-
ative models, situated at the intersection of stochastic processes, probability theory, and machine
learning.
The PhD candidate will investigate continuous-time Markov chains (CTMCs) and jump-diffusion
processes for generative tasks. A core objective is to overcome the “factorization trap” present
in current discrete flow matching models by exploring alternative combinatorial and geometric
structures on the space of probability measures. This will require investigating combinatorial
and geometric structures on probability spaces that go beyond classical Wasserstein geometry.
The candidate will work both on the theoretical aspects and on the implementation of novel
architectures, including hybrid jump-diffusion flows in token embedding spaces.

Profil recherché :
I am looking for a highly motivated candidate with: - A Master’s degree in Mathematics, Computer Science, or a closely related field. - A strong background in probability theory and stochastic processes is a plus. - Interest in the mathematics of machine learning and generative modeling. - Programming experience; knowledge of Python and frameworks such as PyTorch is a plus.

Candidater

[Stage] Customer Success Engineer - Microfluidics à ELVESYS

Wed, 15 Jul 2026 17:53:08 +0200

Prêt(e) à bousculer la recherche scientifique mondiale ? Chez Elvesys, on utilise la microfluidique pour créer les outils de laboratoire du futur.

Merci de postuler sur le lien ci-dessous :

https://elveflow.notion.site/Page-carri-re-d-Elvesys-4a1e015895c0834487c801a95660f2ed?pvs=74

Pour propulser notre pôle Customer Success mené par, nous recherchons un(e) Stagiaire Customer Success Engineer survolté(e). Ce rôle hybride et ultra-formateur est au cœur de notre stratégie "Customer Centric" : ta mission sera de moderniser l’expérience de nos clients (chercheurs et laboratoires de pointe) tout en insufflant une excellence opérationnelle au sein de nos processus de support.

Candidater

[Contrat doctoral] 2026-2988 THESE - COMPORTEMENT D'UN PARC DE BATIMENTS EXISTANTS EN MACONNERIE H/F à CSTB

Wed, 15 Jul 2026 17:53:08 +0200

La Direction Sécurité, Structures et Feu du CSTB recherche un(e) Ingénieur(e) doctorant(e) dans le cadre de travaux sur le sujet suivant : Modélisation des performances mécaniques et du comportement structural probables des bâtiments en maçonnerie pour des applications à l’échelle du parc.

En France, une partie importante du parc bâti en maçonnerie est ancien et nécessite des travaux réguliers d'entretien ou de rénovation. Ces bâtiments restent très largement appréciés pour leur robustesse, leur longévité et leurs qualités architecturales. Toutefois, une partie du parc ancien présente des pathologies (fissures, tassements différentiels, dégradation des matériaux liée au vieillissement…). Les enjeux actuels concernent donc nos capacités à analyser l'état de ces bâtiments afin de prendre des décisions quant à leur renforcement, leur adaptation aux exigences de sécurité et de performance actuelles.

L’objectif principal de la thèse est d’améliorer les connaissances sur le bâti existant en maçonnerie, en passant par trois étapes.

Une première étape à ne pas sous-estimer est la recherche bibliographique afin de faire un panorama de l’ensemble des données pertinentes qui peuvent être disponibles (données géographiques, géologiques, historiques, architecturales, infrastructurales …) à l’échelle d’un quartier ou d’une habitation, et de compiler toutes les règles ou typologies de règles historiques de construction et abaques disponibles pour mieux comprendre le bâti antérieur au contexte normatif et réglementaire actuel. Cette recherche concernera une collectivité à définir pour limiter les typologies constructives, et pourra s’appuyer sur des ressources spécialisées (en ligne ou à la bibliothèque d’architecture contemporaine Jean-Louis Cohen par exemple).
Une deuxième étape consistera à développer une méthode d’estimation de l’état du bâti à partir de ces données et éventuellement de données supplémentaires à acquérir, afin de pouvoir proposer des cartes de vulnérabilité structurale aux collectivités intéressées. Cette méthode passera notamment par la détermination probabiliste des propriétés mécaniques des matériaux et du mode constructif (notamment à l’aide des informations obtenues à la première étape), et leur exploitation par des modèles de calcul de maçonnerie existants.
Enfin, une troisième étape sera consacrée à la confrontation de la méthode à la réalité à travers une étude de cas afin de dessiner ses limites de validité. Cette vérification pourra s’appuyer sur les données produites par la collectivité à laquelle la méthode est appliquée. Pour cela, l’application à un parc donné se fera en exploitant les données pertinentes (date de construction, épaisseur théorique et composition probable des murs etc.) de la Base de Données Nationale des Bâtiments (BDNB), et en comparant les résultats aux données de la collectivité visée (arrêtés de mise en sécurité par exemple).

Profil recherché :
Vous êtes titulaire d'un diplôme de niveau BAC+5, type Master en mécanique des matériaux et structures ou en génie civil. Vous disposez de connaissances en ingénierie mathématique et informatique (programmation, modélisation, probabilités, optimisation et SQL). Vous avez une appétence pour l’histoire de l’architecture.

Candidater

[Contrat doctoral] Doctorant(e) – Économie d'eau dans les tours de refroidissement humides à John Cockerill Hamon

Wed, 15 Jul 2026 17:53:08 +0200

1. Contexte

Les tours de refroidissement humides, communément appelées systèmes WET, sont largement adoptées dans l’industrie en raison de leur efficacité thermique. Cependant, le prélèvement d’eau directement dans le milieu naturel, nécessaire à leur fonctionnement, soulève aujourd’hui des préoccupations majeures, notamment dans un contexte de stress hydrique croissant et de raréfaction des ressources en eau.

Face à cette problématique, il existe une alternative, les tours de refroidissement sèches (DRY), qui se distinguent par une performance supérieure en matière d’économie d’eau. Néanmoins, ces systèmes présentent des limites significatives, tant sur le plan des coûts d’investissement et d’exploitation (CAPEX et OPEX), que sur celui de la performance thermique.

Dans un environnement marqué par des contraintes réglementaires de plus en plus strictes et une pression économique accrue, il devient impératif d’optimiser les systèmes WET afin de réduire au maximum les prélèvements et la consommation d’eau, tout en maintenant une performance thermique élevée et en maîtrisant les coûts d’installation et de maintenance.

Ce projet s’appuie sur le partenariat entre l’entreprise John Cockerill Hamon et le laboratoire CETHIL, reconnu pour son expertise en thermique et énergétique, favorisant une collaboration étroite entre l’industrie et la recherche.

2. Problématique

La question centrale de ce projet de thèse consiste à concevoir et valider des solutions innovantes permettant de réduire significativement le prélèvement et la consommation d’eau des tours de refroidissement WET, tout en garantissant le maintien d’une performance thermique optimale et une gestion rigoureuse des coûts liés à l’installation et à la maintenance.

3. Objectifs

Les objectifs principaux de cette recherche sont multiples :

Il s’agit d’identifier les leviers d’économie d’eau dans les systèmes WET, que ce soit par le biais du design, des procédés ou des matériaux utilisés ;
Développer et de tester des solutions concrètes ;
D’évaluer de manière approfondie l’impact technicoéconomique et environnemental des innovations proposées ;
D’intégrer l’effet d’échelle afin de garantir la transposabilité des résultats obtenus à une application industrielle à grande échelle.

4. Méthodologie

La méthodologie adoptée pour mener à bien ce projet s’articule en quatre phases distinctes :

La première phase consiste à réaliser un état de l’art approfondi, à prioriser les solutions et idées applicables,
Une seconde phase consiste à effectuer des simulations de modèle simplifié 1D pour valider les concepts retenus,
En fonction des résultats définis, il peut être envisagé la mise en œuvre de tests expérimentaux sur banc au sein du CETHIL, le développement d’un modèle prédictif, ainsi que l’extrapolation des résultats à l’échelle industrielle.
La troisième phase vise à réaliser des tests à grande échelle sur le centre de recherche de l’entreprise, afin de confirmer la solution technique au niveau industrielle,
La quatrième phase porte sur la valorisation des résultats et sur la rédaction du mémoire de thèse.

Profil recherché :
Le candidat devra avoir des connaissances dans le domaine des transferts thermiques, de la mécanique des fluides et du changement de phase liquide-vapeur. Le candidat devra démontrer un intérêt marqué pour le développement de modèles numériques ainsi que pour les approches expérimentales.

Candidater

[Contrat doctoral] Integrated Bistable Modules for Frugal Discrete Miniature Robots à Laboratory of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and Alternative Energies and Atomic Energy Commission (CEA)

Wed, 15 Jul 2026 17:53:08 +0200

Context and Motivations
Miniature robotics at the meso scale opens new perspectives for applications in constrained environments, such as intra- or extra tubular inspection, minimally invasive medical robotics, or the exploration of complex structures. In this dimensional context, conventional approaches inspired by rigid robotics rapidly reach their limits, particularly in terms of energy consumption, integration complexity, and interaction safety.
Discrete (multi stable) robots, built from the assembly of bistable modules, constitute a promising alternative. These systems rely on mechanical elements featuring multiple stable equilibrium states, enabling discrete motions through structural deformation (rotation, translation, etc.) with low energy consumption, since energy is only required during state transitions, thus promoting system frugality. System robustness is ensured thanks to modular redundancy, which allows compensation for certain failures or uncertainties without requiring heavy instrumentation.
However, the systematic design of such robots at a miniature scale, while simultaneously considering fabrication constraints, materials, actuation, sensing, dynamics, and assembly, remains a largely open research domain.

Objectives of the PhD
The main objective of this PhD is to rethink bistable module concepts for miniature robotics and to develop a comprehensive methodology for the design, modeling, control, and experimental validation of frugal multi stable robots, from the elementary module to the assembled robot. The work will address both theoretical foundations and their experimental validation, including module fabrication, characterization, and integration, as well as the implementation of discrete control strategies adapted to multi stability.

Research Program
The scientific developments will consider two complementary levels. The module level will focus on the design, modeling, actuation, and experimental characterization of various bistable structures. The robot level will address the assembly, dynamic analysis, and control of multi stable systems obtained by combining these modules.
The first research axis will focus on the conceptual design and fabrication of elementary bistable modules in 2D or 2½D, specifically tailored for miniaturization (meso scale). The work will aim to:
- Build a library of parameterized bistable modules (characteristic dimensions, materials, geometry, etc.);
- Develop mechanical models, either classical or using Artificial Intelligence, accounting for dynamic effects and nonlinear interactions;
- Experimentally characterize their behavior, including stable equilibrium states, associated resisting forces, state switching forces, dynamic aspects, and repeatability under loading conditions.
An optimization effort will be conducted at the module level, with a strong emphasis on structure–actuator coupling, in order to improve energy efficiency (high energy density, low consumption). The use of micro actuators (e.g. Shape Memory Alloys) will be favored. Finally, the integration of sensors will be investigated to estimate the internal state of each module and to measure interaction forces between modules and with the environment.
The second research axis will address the design and control of multi stable robots, obtained from the serial assembly of bistable modules. The work will include :
- Defining the optimal assembly, by determining the number of modules, their type (selected from the library), and their dimensional range;
- Studying dynamic effects and their influence on the overall robot behavior;
- Implementing discrete control strategies adapted to system multi stability, based on a quasi open loop control, using only modules’ state and internal/external interaction forces information.

Expected Outcomes
At the end of the PhD, the expected outcomes are:
- A library of frugal bistable modules, manufactured, characterized, and validated;
- A synthesis methodology enabling the design and assembly of multi stable robots adapted to different applications;
- A discrete robot demonstrator, such as a mobile robot for intra- or extra tubular inspection, or a miniaturized manipulator arm, for industrial or medical applications.

References

[1] Benjamin Calme, Lennart Rubbert, Yassine Haddab. Towards a Discrete Snake-like Robot Based on SMA-actuated Tristable Modules For Follow The Leader Control Strategy. IEEE Robotics and Automation Letters, 2023, 8 (1), pp.384-391.

[2] Abdenbi Mohand Ousaid, Ismaïl Bouhadda, Gilles Bourbon, Patrice Le Moal, Yassine Haddab, et al.. Compact Digital Microrobot Based on Multistable Modules. IEEE Robotics and Automation Letters, 2021, 6 (2), pp.1926-1933.

[3] Mouna Ben Salem, Guillaume Aiche, Lennart Rubbert, Pierre Renaud, Yassine Haddab. Design of a Microbiota Sampling Capsule using 3D-Printed Bistable Mechanism. EMBC 2018 - 40th International Conference of the IEEE Engineering in Medicine and Biology Society, Jul 2018, Honolulu, United States. pp.4868-4871.

[4] C. Libersa, M. Arsicault, J.-P. Gazeau & J.-P. Lallemand, A peculiar flip-flop actuator for an in-pipe microrobot, Robotica, Cambridge University Press, Vol. 22, No 5, 2004, pp. 547-561.

[5] Guimin Chen, Quentin T. Aten, Shannon Zirbel, Brian D. Jensen and Larry L. Howell, A Tristable Mechanism Configuration Employing Orthogonal Compliant Mechanisms. Journal of Mechanisms and Robotics. 2010. DOI: 10.1115/1.4000529.

[6] Larry L. Howell, Compliant Mechanisms. Wiley, 2001, ISBN-13: 978-0471384786

Profil recherché :
Applicants should hold a Master’s degree or Engineering degree in robotics, control, mechanics, mechatronics, mechanical engineering, or related fields. Strong backgrounds in mechanical modeling completed by knowledge on control are required, along with a strong interest in innovation in miniature robotics. Skills in scientific programming (e.g. Python, MATLAB, or equivalent) and numerical simulation are expected. An interest in experimental work, including design, prototyping (especially via 3D printing), and robotic or mechatronic system characterization, will be highly appreciated. Autonomy, analytical skills, critical thinking, and an interest in multidisciplinary research are essential to successfully carry out this work.

Candidater

[Stage] Polymers derived from micro-algae: potential building blocks for the preparation of biomaterials à Centre de Mise en Forme des Matériaux (CEMEF)

Wed, 15 Jul 2026 17:53:07 +0200

Biomaterials made from natural polymers present several advantages over synthetic biomaterials, including intrinsic biocompatibility and reduced environmental impact. Micro-algae have emerged as an attractive source of natural polymers thanks to their rapid growth, environmental adaptability and bioactive properties.

The goal of this internship is the preparation of biomaterials using polymeric building blocks extracted from micro algae. The selected intern will initially work at CarbonWorks for a short period to extract polymers from micro-algae. Subsequently, the extracted polymers will be characterized at CEMEF (e.g. molecular weight, chemical composition, ...).

Efforts will then be made to transform the bio-based polymers into materials with potential biomedical use at CEMEF. The obtained biomaterials will be characterized for e.g. biomedical and material properties at CEMEF.

see more here :

https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/06/Internship-offer-CEMEF-CarbonWorks.pdf

Profil recherché :
Application: The position is for a student preparing Master degree. Skills: background in polymer chemical physics (basics in polysaccharides is a plus), capability to work in group, fluent in English, motivation and sense of initiative and capability to report regularly on the work performed. Stipend: about 700 €/month. Location: CarbonWorks (located in Libourne, France, approximately 20 % of the time) and the Center for Materials Forming (CEMEF) of MINES Paris - PSL (located in Sophia Antipolis, France, approximately 80 % of the time). Starting date: Autumn 2026 for a period of 6 months. Application: Please send your CV, a cover letter, and a list of your study grades to Dr. Sijtze Buwalda: sijtze.buwalda@minesparis.psl.eu

Candidater

[Contrat doctoral] Virtual laboratory for microcracks prediction in refractory materials à Université de Limoges - IRCER

Wed, 15 Jul 2026 17:53:07 +0200

Objectives: To develop digital modelling tools supporting refractory digital twins in order to investigate the
relationships between microstructure, processing routes and thermomechanical performance. The work will combine physics-based approaches and numerical simulations, including thermo-mechanical coupling, damage evolution and anisotropic behaviours. These developments will lead to a virtual digital framework able to provide predictive indicators, virtual testing and decision-support for lifetime and performance assessment, in connection with REFFRACTEUR data architectures. These developments will be integrated to the free DEM software GranOO.

Expected Results: Validation of the digital twin approach against experiments through (i) thermo-mechanical
quantities such as CTE, Young’s modulus, Poisson’s ratio, stress-strain law, fracture energy) and (ii) microcrack
initiation, closure and coalescence under thermo-mechanical loading dynamically observed by SEM/microtomography. A validated virtual lab will provide predictive indicators and virtual tests.

Profil recherché :
Master’s level in Materials Science and/or Computational Methods in Mechanical Engineering. Excellent skills for numerical method applied to mechanics. A good knowledge in material science and their associated experimental characterisation technics is also expected. Oral and written communication skills (English) are also required. Some experiences in Python and/or C++ programming will be appreciated.

Candidater

[Contrat doctoral] Échauffement des implants médicaux passifs soumis à un champ magnétique basses fréquences à INRS

Wed, 15 Jul 2026 17:53:07 +0200

Contexte :

Un nombre croissant de personnes est équipé d’implants médicaux métalliques tels que des stents, des prothèses ou encore des plaques. Lorsqu’ils sont exposés à un champ magnétique variable, ces implants peuvent s’échauffer par induction et provoquer des lésions des tissus environnants. Une personne est susceptible d’être davantage exposée sur son lieu de travail qu’en dehors, car les limites d’exposition concernant les travailleurs sont supérieures à celles définies pour le public. De plus, le respect des limites professionnelles protège les salariés considérés comme « sans risque particulier », mais pas nécessairement ceux porteurs d’implants médicaux. Conformément au Code du Travail, il est nécessaire de mener une évaluation des risques spécifique à cette catégorie de travailleurs. Toutefois, les données disponibles à ce sujet dans la littérature restent trop limitées pour protéger correctement les salariés. Il existe bien des études sur l’échauffement des implants soumis aux radiofréquences, mais les basses fréquences, représentatives de l’exposition professionnelle, restent peu étudiées. Quelques travaux portent néanmoins sur l’échauffement lié aux gradients de champ en IRM, dont les fréquences sont de l’ordre du kilohertz. Concernant le contexte professionnel, seul un rapport en allemand, rédigé par l’équivalent autrichien de l’INRS, est aujourd’hui disponible.

Description scientifique et technique :

L’objectif de la thèse proposée est double. Il s’agit dans un premier temps d’approfondir les connaissances sur l’échauffement d’implants médicaux métalliques soumis à des inductions magnétiques basses fréquences dans la bande 1 Hz et 100 kHz. Il s’agit typiquement de signaux créés par les machines émissives les plus répandues dans le parc industriel français. Cela permettra dans un second temps de produire les résultats nécessaires à la création d’outils d’évaluation du risque utiles aux préventeurs, notamment aux médecins du travail. Ces deux objectifs seront atteints au moyen de deux étapes de travail successives.

1. Caractérisation de l’échauffement des implants isolés

Cette première étape consiste à caractériser la puissance thermique dissipée au sein de différents types d’implants soumis à des champs magnétiques basses fréquences. Il s’agit de quantifier l’élévation de température en régime de conduction thermique pure, c’est-à-dire sans échange thermique significatif avec le milieu environnant. Deux axes complémentaires seront développés en parallèle :

Approche expérimentale : Un banc d’essai sera développé pour soumettre plusieurs implants à une induction magnétique uniforme sinusoïdale de fréquence f et d’amplitude B0. Ils seront étudiés en conditions isolées, sans convection ou en régime de vide thermique. L’élévation de température sera mesurée à l’aide de sondes à fibre optique et par caméra thermique.
Approche numérique : Les implants sélectionnés seront numérisés à l’aide d’un scanner 3D afin d’obtenir des modèles géométriques fidèles et compatibles avec la méthode des éléments finis. Le modèle, fondé sur la loi de Faraday et l’équation de la chaleur, mettra en œuvre un couplage faible électromagnétique–thermique pour relier les paramètres du champ et des matériaux à la puissance thermique induite et à l’élévation de température. Ce modèle sera ajusté à partir de mesures de température effectuées sur le banc d’essai.

2. Prise en compte du milieu biologique

Cette seconde étape vise à prendre en compte le couplage thermique entre un implant et son environnement biologique pour obtenir une estimation plus réaliste de l’échauffement susceptible d’être observé in vivo. La conduction, la convection sanguine et la perfusion des tissus seront intégrées à la modélisation et, dans une moindre mesure, aux expérimentations afin de représenter les mécanismes réels de transfert et d’évacuation de la chaleur au sein des tissus. A nouveau, cette étape sera traitée via deux axes complémentaires :

Approche expérimentale : Différents matériaux, notamment des tissus synthétiques, seront utilisés pour prendre en compte les échanges thermiques entre l’implant et son milieu. Les propriétés thermiques (λ, ρ, et cp) et électromagnétiques (μ et σ) de ces matériaux seront déterminées ou extraites de la littérature. La mise au point des protocoles expérimentaux suivra une logique de complexité croissante, cherchant un compromis entre la représentativité thermique des conditions expérimentales et la faisabilité technique.
Approche numérique : L’équation de Pennes sera utilisée pour relier la puissance thermique induite à la distribution de température dans les tissus environnants, en considérant des régimes de couplage faible ou fort selon l’ampleur de l’échauffement. Cette approche permettra de décrire la diffusion et la dissipation thermique entre l’implant et les tissus et de générer des cartographies de température plus réalistes.

Dans le cadre d’activités d’information et de prévention sur les risques dus à l’exposition à des champs basses fréquences, cette étude permettrait de mieux évaluer les risques pour les travailleurs à risques particuliers.

Profil recherché :
Les candidats peuvent être issus (liste non-exhaustive) : de Master 2 « Physique expérimentale » ou équivalent, ou de Master 2 « Génie Électrique / Thermique » ou équivalent, ou d’une École d’ingénieur avec une formation « Génie Électrique / Électrotechnique / Thermique ». Les postulants devront montrer un goût prononcé pour les essais expérimentaux et une expérience préliminaire (stage, projet de fin d’étude,...) dans un laboratoire de recherche ne fera que renforcer le dossier de candidature. Une connaissance des méthodes numériques de résolution des équations aux dérivées partielles (type méthode des éléments finis) serait appréciée, mais n’est en rien obligatoire. Le doctorant sera appelé à participer à la vie du laboratoire.

Candidater

[Contrat doctoral] Modeling of dissipative regimes in next generation high-field compact tokamaks: development of con-trol methods for detached plasma. à AMU

Wed, 15 Jul 2026 17:53:07 +0200

High-temperature superconducting (HTS) magnets represent a major breakthrough for nuclear fusion, enabling the development of compact, economically viable reactors with high power density. However, their design still faces significant physical and technological challenges, making advanced numerical modeling essential for progress. As for ITER, one of the key challenges remains power exhaust, as steady-state heat fluxes could exceed the technological limits of plasma-facing components (PFCs). Various strategies allow tokamaks to operate in dissipative regimes, such as impurity injection (Neon, Argon), which dissipates energy at the edge but dilutes the plasma. Among these, the detached plasma regime is particularly promising, as it dramatically reduces plasma temperature at the wall, leading to recombination into a protective neutral layer that shields PFCs from the hot core plasma.

While achieving this regime is relatively straightforward, controlling it in high-power machines remains a major challenge. Power fluctuations across the separatrix can trigger transients where the neutral layer reionizes, reattaching the plasma and risking PFC damage. Developing reactive control methods—capable of acting within appropriate timeframes—is therefore critical to protect PFCs continuously. This response time depends on the "burn-through" time—the duration required for plasma to ionize neutrals near the wall during a power transient.

This thesis aims to study these regimes through numerical modeling, particularly to predict transient power timescales and optimize steady-state detached plasma operation to maximize burn-through time. The ultimate goal is to achieve a state where neutrals never fully ionize during transients, enabling passive absorption of disturbances.

To accomplish this, two modeling approaches will be used:

First-principles simulations with SOLEDGE3X-EIRENE (co-developed by the collaborating teams) for realistic simulations.
Reduced-order models for parametric studies and extrapolating results to different machines.

Profil du candidat / Candidate profile :

Master ou diplôme d'ingénieur en physique des plasmas, mathématiques appliquées ou mécanique des fluides / Master's degree or engineering diploma in plasma physics, applied mathematics or fluid mechanics,

Related publications :

H. Bufferand, et al. “Progress in edge plasma turbulence modelling—hierarchy of models from 2D transport application to 3D fluid simulations in realistic tokamak geometry”. In: Nuclear Fusion 61.11 (2021), p. 116052.
J. Bucalossi, et al. “Operating a full tungsten actively cooled tokamak: overview of WEST first phase of operation”. In: Nuclear Fusion 62.4 (2022), p. 042007.

Profil recherché :
Master ou diplôme d'ingénieur en physique des plasmas, mathématiques appliquées ou mécanique des fluides / Master's degree or engineering diploma in plasma physics, applied mathematics or fluid mechanics,

Candidater

[CDD] Enseignant (e) en BIOINFORMATIQUE à Supbiotech

Wed, 15 Jul 2026 17:53:07 +0200

Nous recherchons pour notre école SupBiotech basée à Villejuif un(e) Enseignant(e) en Bioinformatique.

Votre rôle sera d’enseigner la bioinformatique auprès des étudiants du cycle ingénieur. Vous interviendrez dans le cadre de cours et travaux dirigés dispensés en anglais et participerez à l’accompagnement pédagogique des étudiants.

L’enseignement couvrira notamment des thématiques de bioinformatique appliquée telles que le séquençage haut débit (NGS 2e et 3e génération), l’exploitation de bases de données biologiques, l’alignement et la comparaison de séquences, l’annotation, la phylogénie, le mapping de données NGS sur génome de référence ainsi que le variant calling.

En complément des enseignements, la personne recrutée participera à l’élaboration et à la correction des sujets d’examen, à la mise à jour des supports pédagogiques ainsi qu’aux réunions pédagogiques et conseils de classe.

Supports de cours et travaux pratiques disponibles.

Volume horaire : de l’ordre de 94 heures d’enseignement, à définir lors de la planification.

Profil recherché :
Compétences techniques : Titulaire d’un diplôme de niveau Bac+5 minimum dans le domaine de la bioinformatique ou dans une discipline connexe. Bonne maîtrise des outils et méthodes de bioinformatique, notamment en génomique et analyse de données biologiques. Une première expérience dans l’enseignement supérieur ou l’encadrement pédagogique est appréciée. Capacité à dispenser des enseignements en anglais. Compétences personnelles requises : Intérêt marqué pour l’enseignement et la transmission des connaissances. Sens de l’organisation, rigueur et professionnalisme. Autonomie, proactivité et capacité à travailler en équipe. Appétence pour les méthodes pédagogiques innovantes et l’accompagnement des étudiants. Modalités pratiques : CDDU à temps partiel à compter de la rentrée 2026. Rémunération : 55 € bruts par heure d’enseignement. Volume d’enseignement : environ 94 heures. Carte titres-restaurant. Mutuelle d’entreprise. Prise en charge à 50 % de l’abonnement aux transports en commun. Lieu de travail : SupBiotech, Villejuif (94).

Candidater

[Contrat doctoral] Optimisation du processus de microfabrication de micropiliers pour le Fan-Out Wafer Level Packaging (FOWLP) à Institut interdisciplinaire d'innovation technologique - Université de Sherbrooke

Wed, 15 Jul 2026 17:53:07 +0200

Contexte :

Les technologies de packaging avancées sont cruciales pour l'évolution de la microélectronique, améliorant les performances grâce à l'intégration hétérogène. Les méthodes traditionnelles peinent à répondre aux exigences de l'informatique haute performance, de l'IA, de l'aérospatiale et de la défense. Avec la demande croissante pour l’intégration hétérogène multi-puces utilisant la configuration avancée du Fan-Out Wafer-Level Packaging (FOWLP), il y a un grand intérêt à réduire le pas d’interconnexion die-to-wafer, puiqu’un pas ultrafin permet des circuits plus simples et plus efficaces, réduisant ainsi la consommation d’énergie et la complexité de conception. Cependant, la réduction de la taille de microbilles de soudures à un tel pas pose de nouveaux défis, notammentent en termes de force thermomécanique, de résistance à l’électromigration et de contrôle des déformations. De plus, un défi majeur dans les processus FOWLP multi-puces est d’assurer une haute précision de placement des puces pendant le procédé d’assemblage flip-chip die-to-wafer (D2W), car les positions des microbilles (contact-pad) doivent correspondre aux masques de la couche de redistribution (RDL). Nous proposons donc ce projet de thèse visant à développer des interconnexions verticales à haute densité (pas < 30 μm) compatibles avec un environnement industriel d’assemblage D2W pour l’intégration hétérogène de multi-puces.

Sujet : Cette thèse vise à concevoir un procédé de fabrication avancé pour créer des micro-bosses de soudure hétérogènes, ductiles et à pas fin, qui sont essentielles pour l’assemblage flip-chip de puces actives sur des wafers reconstitués. La personne retenue sera chargé de: (i) réaliser une revue de littérature sur la fabrication des microbilles de soudures, en se concentrant spécifiquement sur les exigences pour produire des micropillars Cu/Ag/Sn ultrafins ; (ii) optimiser les processus de microfabrication pour définir les motifs des micropiliers dans la salle blanche, incluant des techniques de lithographie, d’alignement et d’exposition précises ; (iii) optimiser les paramètres de l’électro placage pour créer des micropilliers à pas fin ; (iv) développer les conditions du procédé d’assemblage par thermocompression TCB-D2W (pression, température de la tête et du substrat) adaptées à la structure unique des micropilliers (v) réaliser des caractérisations morphologiques pour mesurer et analyser l’uniformité et la qualité des micropilliers sur différentes sections des wafers. À la fin de cette thèse, l’étudiant(e) aura établi(e) un nouveau type d’interconnexion conforme pour améliorer l’intégrité des systèmes microélectroniques avancés.

Profil recherché :
Profil recherché : • Spécialisation en nanotechnologie, microélectronique, physique, chimie, ou science des matériaux • Forte capacité d’adaptation, d’autonomie et de travail en équipe • Goût prononcé pour la conception, le travail expérimental en salle blanche, la recherche et le développement • Atouts : connaissances en micro-nanofabrication, l’assemblage et l’encapsulation de puces électronique

Candidater

[Contrat doctoral] Nouvelles métallurgies pour le collage hybride à basse température dans le packaging Fan-Out Wafer à Institut interdisciplinaire d'innovation technologique - Université de Sherbrooke

Wed, 15 Jul 2026 17:53:07 +0200

Contexte :

Les technologies de packaging avancées sont au cœur de la révolution microélectronique, essentielles pour des domaines comme l’IA, l’aérospatiale et le calcul haute performance. Parmi elles, le Fan-Out Wafer-Level Packaging (FOWLP) se distingue par sa densité d’interconnexions et son efficacité spatiale, ouvrant la voie à des systèmes plus compacts et puissants. Le collage hybride, combinant diélectriques polymères et interconnexions métalliques, est une étape clé. Cependant, l’utilisation du cuivre pose des défis liés à l’oxydation et aux températures élevées. Ce doctorat propose d’explorer de nouvelles métallurgies pour un collage hybride à basse température, contribuant à la conception des technologies de demain. Vous évoluerez dans un environnement collaboratif et stimulant, au sein du 3IT et du C2MI, deux pôles d’excellence où chercheurs, étudiants et industriels innovent ensemble, offrant des opportunités uniques de développement et d’impact mondial.

Sujet : Cette thèse vise à explorer des alternatives au cuivre pour le collage métallique dans les procédés de collage hybride à base de polymères, afin de permettre un collage à basse température pour des applications de packaging avancé telles que le Fan-Out Wafer Level Packaging (FOWLP). Les objectifs incluent : 1. Réaliser une revue de littérature approfondie sur les défis liés à l’oxydation du cuivre et sur les métaux alternatifs permettant un collage à basse température. 2. Développer et caractériser des métallurgies alternatives prometteuses pour les interconnexions, en veillant à leur compatibilité avec le matériau diélectrique adhésif et à la minimisation de la résistance électrique. 3. Optimiser des stratégies de protection des interconnexions en cuivre (par exemple, couches barrières ou revêtements) pour prévenir l’oxydation et améliorer la mouillabilité. 4. Définir et mettre au point les conditions du procédé de collage die-to-wafer (D2W) adaptées pour obtenir une interface de collage fiable et performante. 5. Effectuer des caractérisations morphologiques, électriques et mécaniques complètes afin d’évaluer la qualité d’adhésion et la robustesse de l’interface de collage. À l’issue de cette thèse, le candidat aura établi un procédé innovant de collage hybride à basse température utilisant des métallurgies alternatives, contribuant ainsi à l’avancement des technologies d’interconnexions à haute densité pour les systèmes microélectroniques de nouvelle génération.

Profil recherché :
Profil recherché : Diplôme requis : Maîtrise en génie mécanique, nanotechnologies, matériaux, chimie ou domaine connexe. Compétences clés : Microfabrication, caractérisation des surfaces, connaissance en métallurgies et des polymères. Qualités personnelles: Autonomie, adaptabilité, esprit d’équipe, goût pour la recherche expérimentale et l’innovation. Atouts : Connaissance des procédés d’intégration et du packaging microélectronique avancé. Langues : Capacité à communiquer en français ou en anglais, à l’oral et à l'écrit.

Candidater

[Contrat doctoral] Comportement thermo-hydro-mécanique du béton en accident grave selon une approche poro-mécanique (Th EXP26-3) à ASNR

Wed, 15 Jul 2026 17:53:07 +0200

L'ASNR assure le contrôle des activités nucléaires civiles en France et exerce des missions de recherche, d'expertise, de formation et d'information des publics dans les domaines de la sûreté nucléaire et de la radioprotection. En particulier, l'ASNR mène des programmes de recherche afin de développer des outils d'expertise permettant d'évaluer la capacité des enceintes de confinement des réacteurs nucléaires à assurer leur mission de confinement des matières radioactives dans différentes conditions d'ambiance dans l'enceinte, notamment résultant d'un accident grave dans le réacteur (pic de pression à 6 bars absolus, température pouvant atteindre les 250°C, conditions saturantes ou partiellement saturées).

Ces programmes de recherche investiguent notamment les modifications des propriétés du béton des enceintes soumis à de telles conditions d'ambiance, en regard de la fonction d'étanchéité vis-à-vis des matières radioactives, caractérisée par un taux de fuite. Ainsi, l'objectif principal de la thèse est de fournir une meilleure compréhension des mécanismes thermo-hydro-mécanique (THM) impliqués dans le comportement du béton soumis à des conditions d'accident grave en utilisant une approche numérique-expérimentale, qui doit aboutir au développement et la validation d'un modèle de comportement poro-mécanique du béton adapté.

Mission

Le doctorant devra s'inspirer des modèles disponibles dans la littérature, notamment ceux développés pour la tenue au feu du béton, pour mettre un place une loi de comportement poro-mécanique du béton adaptée aux sollicitations THM résultant de conditions d'accident grave dans l'enceinte. Les travaux d'adaptation des modèles existants viseront à ne retenir que les phénomènes pertinents et nécessaires. Le doctorant devra porter une attention particulière à justifier tout affaiblissement, à des fins de robustesse numérique, du niveau de couplage des phénomènes physiques en jeu. Ce travail se basera sur une analyse de sensibilité probabiliste aux différents phénomènes en jeu dans le béton à ces conditions accidentelles ; l'objectif étant d'hiérarchiser les phénomènes physiques considérés dans le modèle (via les paramètres associés) selon leur importance vis-à-vis de la réponse attendue dans le domaine de sollicitation visée. Plusieurs méthodes peuvent être appliquées : OAT, SOBOL', Hilbert-Schmidt Independence Criterion (HSIC), etc.

Le doctorant alimentera son modèle par des résultats d'essais à l'échelle de l'éprouvette. Il bénéficiera des résultats d'essais de sorption/désorption, de perméabilité et de porosité réalisés à l'I2M (Institut de mécanique et d'ingénierie - Université de Bordeaux) et validera sa démarche sur la base d'essais optimisés réalisés par mesures au tomographe neutronique rapide de l'Institut Laue Langevin à Grenoble. Les observables d'intérêt couvriront l'évolution du front de saturation, la perte de masse et l'évolution du réseau poreux (en condition résiduelle après les essais au tomographe), etc. pendant le chargement thermique et en fonction du chargement mécanique appliqué.

La loi de comportement poro-mécanique qui sera proposée devra être implémentable dans le code de calcul de mécanique des structures par éléments finis Cast3M (développé par le CEA), directement ou via le générateur de loi de comportement Mfront.

Le doctorant devra ensuite tester, à l'échelle d'une maquette représentative d'une zone courante d'une enceinte de confinement d'un réacteur de 1300 MWe, la capacité prédictive du modèle poro-mécanique développé. Cette analyse sera menée en confrontant les résultats de simulations aux taux de fuite en air-vapeur mesurés sur la maquette lorsqu'elle est soumise à un chargement de type « accident grave » (programme expérimental COBRA mené par l'ASNR). Le doctorant devra interpréter les écarts au vu des incertitudes inhérentes à l'hétérogénéité du béton et aux incertitudes associées aux conditions d'essais.

Le doctorant développera tout au long de sa thèse une stratégie de validation à différentes échelles (éprouvette, volume de structure représentatif, maquette de structure) du modèle poro-mécanique qui sera proposé.

Profil recherché :
Le candidat doit avoir un diplôme d'ingénieur ou M2R en génie civil, matériaux et mécaniques. Il doit être familier avec les calculs scientifiques et les méthodes numériques. Des connaissances de base du logiciel Cast3M une appétence pour le travail expérimental et un goût pour les probabilités et les statistiques seront appréciés.

Candidater

[CDI] Wonderwoman / Superman : Prospection et écriture de projets européens à Microfluidics Innovation Center

Wed, 15 Jul 2026 17:53:07 +0200

En tant que partenaire microfluidique et valorisation au sein de consortiums européens, le MIC dépose plusieurs dizaines de projets par an. Ton rôle, renforcer le proposal avec les technologies microfluidiques du MIC et optimiser la stratégie de valorisation du projet.

Voici ton rôle :

Tu traites avec efficacité et rapidité l’écriture des proposals européens et tu vises l’obtention des financements
Tu travailles sur des domaines scientifiques variés
Tu définis les projets en direct avec la CEO, et tu les discutes avec les partenaires en visio et par mail.
Tu réponds rapidement à nos mails de prospection auprès des chercheurs » : 24h c’est beaucoup, 48h c’est une éternité

Profil recherché :
Ton profil en 6 points : Tu as un Doctorat et/ou Master en science Tu as un fort attrait et une maîtrise des outils IA pour aller plus vite et plus loin à nos côtés Tu as un background scientifique solide et une curiosité technologique Tu possèdes un esprit orienté marché et valorisation Tu es dans l’action, tu aimes enchaîner les actions jusqu’au succès Tu possèdes un anglais impeccable, à l’écrit comme à l’oral ➔ Au MIC, on aime : Les gens d’actions, les créatifs, les autonomes, les curieux, les gens exigeants avec eux-mêmes mais qui prennent soin de leur entourage. Ceux qui font plus qu’ils ne parlent, ceux qui veulent une vie intense et contrastée. Ceux qui ramènent des croissants !

Candidater

[Contrat doctoral] JOBREQ_50266749 Thèse CIFRE (H/F) - Modélisation du dépôt de lithium métallique dans une batterie - Grenoble et Amiens à RENAULT SAS

Wed, 15 Jul 2026 17:53:07 +0200

Vos missions

Descriptif de la thématique de recherche

Afin d’améliorer la densité d’énergie des batteries, l’une des approches les plus étudiées aujourd’hui par de nombreux groupes de recherche consiste à remplacer l’électrode de graphite par une électrode en lithium métallique ou par un système de type « anode-free ». Lors de la charge, le lithium provenant de l’électrode positive se dépose à la surface de l’électrode négative, puis est retiré lors de la décharge. Ce mécanisme est appelé « placage/décapage » ou « plating/stripping ».

Afin de comprendre ce mécanisme, de l’étudier et de réduire les coûts expérimentaux, la modélisation constitue un outil essentiel. Cependant, la compréhension fine du dépôt de lithium métallique, ainsi que son optimisation, restent encore des sujets à l’échelle de recherche. Le sujet porte donc sur la modélisation du dépôt de lithium métallique au sein d’une batterie lithium métal. Les résultats de modélisation seront comparés à des dépôts réels de lithium obtenus après analyses post-mortem de cellules.

Etapes de la thèse

Dans cet objectif, vous aurez pour missions :

Réaliser des recherches bibliographiques afin d’établir un état de l’art sur la modélisation du dépôt de lithium métallique et sa caractérisation ;

Développer un modèle de dépôt du lithium métallique ;

Définir les paramètres d’entrée nécessaires à la modélisation ;

Tester des cellules lithium métal ou de type « anode-free » ;

Caractériser expérimentalement le dépôt de lithium métallique afin de le comparer aux résultats de modélisation.

Profil recherché :
Votre profil Vous êtes diplômé(e) d'un BAC+5 d’une université ou d’une école d’ingénieur avec une forte expérience en modélisation physico-chimiques des batteries Li-ion (modélisation physico-chimique et électrochimique, modélisation atomistique, modèle de Newman) et vous avez des connaissances sur les mécanismes de fonctionnement et vieillissement des cellules Li-ion ou post Li-ion. Une expérience expérimentale dans un laboratoire de chimie et/ou batterie serait un plus. Vous avez des connaissances sur des techniques de caractérisations et d’analyses (morphologiques, structurales et compositionnelles). Vous êtes autonome, rigoureux(se) et organisé(e). Vous appréciez le travail couplant modélisation et expérimentation et êtes doté(e) de compétences rédactionnelles et de synthèse. Vous savez travailler en équipe. Votre niveau d'anglais est un atout afin d'évoluer dans un contexte multiculturel au sein de Renault Group (niveau minimum 750 au TOEIC). Si vous n’avez pas encore passé de test au moment de votre candidature, vous pourrez passer un test d’anglais en ligne au cours du processus de recrutement. Vous souhaitez participer à l’aventure de l’automobile de demain ? Rejoignez-nous !

Candidater

[CDD] Chimie de l'aluminium et du chrome dans le circuit primaire en situation d'accident grave d'un coeur ATF - interaction avec des produits de fission volatils (PsD RES26-1) à Autorité de sûreté nucléaire et de radioprotection

Wed, 15 Jul 2026 17:53:07 +0200

Le combustible dopé au chrome, obtenu par ajout de faibles quantités de Cr₂O₃ à l'UO₂, est particulièrement étudié car il améliore certaines performances du combustible : augmentation de la taille des grains, réduction des émissions de gaz de fission et diminution des risques d'interaction entre les pastilles et la gaine. D'autres additifs, comme le mélange Cr₂O₃–Al₂O₃, sont également envisagés pour optimiser la microstructure du combustible. Parallèlement, des gaines recouvertes de chrome ou composées d'alliages Fe-Cr-Al sont développées afin d'améliorer leur résistance à l'oxydation en situation accidentelle.

Cependant, les connaissances restent limitées concernant le comportement du chrome et de l'aluminium lors d'accidents graves, notamment leur relâchement et leurs interactions avec les produits de fission. Les quantités présentes dans un cœur de réacteur peuvent être importantes et entraîner des réactions avec des éléments comme le césium, le molybdène ou l'iode. Ces phénomènes peuvent modifier le transport des produits radioactifs dans le circuit primaire et l'enceinte de confinement, tout en soulevant des enjeux de toxicité chimique et radiologique.;

Dans ce contexte, le programme OCDE FORESEEN (2026–2030) vise à approfondir l'étude du transport et de la réactivité du chrome et de l'aluminium dans des conditions représentatives d'accident grave, notamment en présence de vapeur borée et de plusieurs produits de fission.

Le post-doctorat présenté, d'une durée de 18 mois, poursuivra les premiers travaux entrepris au laboratoire, en se concentrant particulièrement sur la réactivité du chrome en présence de vapeur borée et les étendra à l'étude du comportement de l'aluminium. L'objectif final est d'acquérir des connaissances et des données pour développer des modèles capables de mieux prédire le transport et les interactions de ces éléments dans le circuit de refroidissement du réacteur lors d'accidents graves.

La mission d'une durée de 18 mois se décompose en 3 parties :

Phase préparatoire : réalisation de pré-tests de qualification d'injection d'aluminium (courbes de vaporisation du creuset ; limite de détection des analyses ; puretés des réactifs ; mise en solution des dépôts …)
Réalisation de la matrice d'essais sur le système Al-Mo-B incluant potentiellement des essais de reproductibilité puis de la matrice d'essais sur le système Cr-Cs(I)-B
Interprétation des essais et potentiellement optimisation/adaptation du modèle existant, rédaction des rapports d'essais, valorisation des travaux (publication, congrès).

Ce travail a une forte composante collaborative avec différents services internes ou externes de l'ASNR qui sont parties prenantes de ce projet de recherche. Vous formaliserez et communiquerez les résultats de vos travaux de recherche vers les partenaires du projet et possiblement vers les entités de la sphère du nucléaire directement intéressées par nos travaux.

Profil recherché :
Vous êtes titulaire d'un diplôme doctorat en chimie, physique, matériau ou nucléaire, idéalement connaissances des techniques de chimie analytique et/ou analyses de surface. Vous aimez l'expérimentation, vous êtes dynamique, créatif, méthodique et rigoureux. Vous êtes respectueux des règles de sécurité. Vous faites preuve d'esprit d'analyse et de synthèse. Vous appréciez le travail en équipe et avez une bonne aptitude rédactionnelle. Votre capacité de communication et d'adaptation vous permet de mener à bien les actions de recherche dont vous aurez la charge. Ce poste demande de bonnes capacités relationnelles.

Candidater

[Contrat doctoral] Gestion de la variabilité multi-dimensionnelle par l'IA (neuronale/symbolique) pour l'évolution des architectures de défense MOSA (Approche modulaire des systèmes ouverts à École nationale supérieure de techniques avancées

Wed, 15 Jul 2026 17:53:07 +0200

Les systèmes de défense ont généralement une durée de vie très longue, souvent de 30 à 40 ans, et doivent rester performants dans un contexte d’évolution technologique rapide et d’émergence de nouvelles menaces. Dans ce cadre, les architectures traditionnelles présentent plusieurs limites : cycles de développement longs, obsolescence précoce, faible flexibilité face aux évolutions opérationnelles et coûts de modernisation élevés.

Le projet de thèse MOSA-VariaMos, premier projet du programme AMEIDA, vise à proposer un cadre d’ingénierie permettant de concevoir, formaliser et valider des architectures de défense modulaires, dont l’évolution est explicitement pilotée par une modélisation systématique de la variabilité multi-dimensionnelle (opérationnelle, architecturale, technologique et temporelle).

Le projet s’appuie sur le paradigme MOSA (Modular Open Systems Approach), centré sur les interfaces ouvertes et les modules remplaçables, tout en répondant à un enjeu clé : la modularité seule ne suffit pas sans une gestion explicite de la variabilité.

La contribution scientifique principale portera sur une approche de gestion de la variabilité centrée sur l’architecture (implémentée sur la plateforme VariaMos), combinée à des techniques d’intelligence artificielle (raisonnement automatisé, optimisation) permettant d’analyser, simuler, valider, recommander et planifier l’évolution d’architectures dans de larges espaces de configuration.

L’approche sera validée à travers des cas d’usage représentatifs du domaine de la défense et des démonstrateurs technologiques, avec des mesures quantitatives de passage à l’échelle et des retours industriels.

Date de début

Octobre 2026

(les démarches d’inscription en doctorat devront débuter environ deux mois plus tôt)

Lieu et école doctorale

ENSTA Bretagne – Campus de Brest
Inscription à l’école doctorale SPIN
Laboratoire d’accueil : Lab-STICC

Avantages

Rémunération compétitive
Poste de travail et ordinateur fournis
Financement des conférences, publications et missions de recherche
Participation à l’écosystème international VariaMos
Collaboration avec des chercheurs, industriels et acteurs du secteur de la défense

Encadrement et candidature

Directeur de thèse : Pr. Raúl MAZO
Encadrant: Pr. Omar HAMMAMI

Profil recherché :
Toute candidature doit satisfaire impérativement tous les critères suivants : Diplôme de Master ou diplôme d’ingénieur Formation en ingénierie des systèmes, MBSE, SysML, IA neuronale et symbolique, développement web avec bonnes pratiques en génie logiciel Nationalité française ou citoyenneté d’un État membre de l’Union européenne Excellentes compétences en français et en anglai

Candidater

[Contrat doctoral] Modélisation multi-physiques de l’oxydation hautes températures de métaux - application aux alliages et configurations industrielles à frederic coste

Wed, 15 Jul 2026 17:53:07 +0200

Le PIMM et Air Liquide travaillent en commun depuis de nombreuses années sur le thème de la combustion des métaux en présence d’oxygène pur visant à accroître la sécurité et la fiabilité des procédés industriels actuels et futurs. Trois doctorats (2010-2013, 2018-2021, 2023-2026) ont permis en particulier de progresser dans la compréhension des mécanismes d’allumage d’une combustion en utilisant un dépôt d’énergie laser comme source thermique. La partie prédiction de la propagation de la combustion reste cependant encore lacunaire.

Le sujet proposé s’inscrit dans la continuité de ce travail et se propose d’aborder les points suivants :

1 Validation expérimentale fine du modèle de combustion du fer pur

1.1 Validation thermique/Fréquence de chute des gouttes pour des configurations complémentaires (pression O2, géométrie de l’échantillon)

1.2 Evaluation de la quantité d’O intégrée dans le barreau (mesure de masse)

1. Essais de radiographie à chaud/analyse chimique
Etude de géométries et de conditions plus réalistes du fer pur

2.1 Diamètre du barreau vs Epaisseur de la plaque

Par principe, le test ASTM G124 repose sur l’hypothèse que la combustion d’un barreau est représentative de la combustion d’une pièce plane de même épaisseur. Dans la précédente thèse nous avons montré, comme pré-sentis dans la littérature, que la propagation de la combustion est essentiellement guidée par l’équilibre thermiques du système. Or, le barreau et la plaque n’ont pas le même comportement thermique. Dans la présente étude, nous proposons de redéfinir la règle sur ce sujet. Pour ce faire, des simulations numériques seront réalisées pour différentes géométries, les seuils d’allumage seront identifiés à chaque fois et une loi de corrélation sera établie.

1. Loi de propagation en fonction de l’épaisseur du fer pur

A la suite des développements précédents, nous établirons une corrélation entre les vitesses de propagations de la combustion pour les barreaux et pour les plaques en fonction de l’épaisseur. L’idée étant de rendre le modèle plus proche des configurations industrielles réelles et utilisable pour Air Liquide.

2.3 . Effet de la pression sur la combustion du fer pur

La question de l’effet de la pression sur la combustion à également été effleurée durant la précédente thèse, nous proposons maintenant d’étudier plus finement le comportement de la combustion (augmentation de l’oxygène incorporé dans le métal, effet de seuil, …) sous de plus grandes pressions i.e. proches des configurations industrielles (autour de 100 bars) et nous envisageons de préparer la méthodologie pour extrapolerles résultats sur des configurations extrêmes (autour de 700 bars) afin d’ouvrir sur de nouvelles applications potentielles.

2.4 . Effet des conditions d’écoulement sur la combustion du fer pur

3. Ajout d’éléments d’alliage (Cr, Ni).

Pour faire suite à ces différentes analyses physiques, le sujet majeur de la thèse proposé ici sera l’incorporation dans le modèle actuel d’éléments d’alliages (en particulier le Cr, etNi ). Cela a pour vocation, de continuer la création de connaissance pour la communauté scientifique du domaine mais également de se rapprocher encore des configurations industrielles réelles qui font intervenir des alliages de type d’aciers inoxydables ou d’alliages à base de nickel.. Cette tâche est au cœur de la nouvelle thèse, elle intégrera toutes les différentes étapes et validations faites précédemment sur le fer pur, sur des alliage binaires, ternaires puis des matériaux réels. Il s’agit de l’action la plus risquée à cause de la complexité des réactions qui en découleront et fera l’objet d’une revue de la littérature poussée, d’essais et d’analyses spécifiques.

Profil recherché :
Le problème étant multiphysique (identification de la source thermique moteur de la réaction de combustion, les phénomènes de transport et de diffusion aux interfaces et dans le bain liquide), le-la candidat(e) doit disposer d’un master 2 (ou équivalent) dans le domaine physique/énergétique avec une forte composante en simulation multi physique (thermique, hydrodynamique, diffusion). Une première expérience en identification paramétrique (Méthode inverse) serait appréciée. Compte tenu du contexte industriel du sujet, capacité rédactionnelle, aisance aux présentations et à la vulgarisation et maîtrise de l’anglais sont indispensables.

Candidater

[Contrat doctoral] Special photosensitive glass for one-step 3D laser direct writing of photonic component à ICMCB-CNRS

Wed, 15 Jul 2026 17:53:07 +0200

The subject concerns the fabrication of micro-structured photonic materials for telecommunication photonic circuit, quanttum technology and data storage archival. Glass turns out to be a material of choice thanks to its intrinsic transparency if one can locally control the optical properties in 3D (refractive index, absorption, emission) and this at different scales: on the micron scale corresponding to that of the wavelength, but also on few tens of nanometers. 2D/3D nano-structuring will allow developing artificial materials with new or enhanced properties necessary for integrated optics. It would open the way to “freeform” optical systems that will combine different functions in a single component. Recently, several research groups have demonstrated that Laser glass interaction using specially designed photosensitive materials is a promising approach for developing 3D structured optical components.

The research program will be conducted at LIGHTTech on the campus of Bordeaux University (https://www.linkedin.com/company/lighttech-bordeaux/posts/?feedView=all). The center is equiped with state of the art micro and nano fabrication technology, fiber tower and advanced characterization facilities.

Femtosecond direct laser writing (FDLW) in glass containing photosensitive ions allows fabricating 3D photonic architectures for integrated optic application. However the existing materials are often not appropriate for FDLW. The project proposes to overcome most of the obstacles by developing original photosensitive glassy materials suitable for 3D or 4D manufacturing processes by femtosecond laser. The project will allow fabricating structured materials by using multiphoton printing processes to achieve a resolution as low as 50 nm to design new photonic functionalities in the different spectral ranges from visible to Mid-IR. Depending on the objective, the composition of the materials will be adapted to the targeted transparency domain.

The project proposed will focus on the development of adapted novel photosensitive oxide glass for fabricating 3D structured photonic component. The candidate with background on chemistry or material science will be part of a multidisciplinary consortium gathering physicists specialist in femtosecond laser interaction and chemists aiming to develop photosensitive materials and 3D structure. The PhD will focus on the development of photosensitive materials and the characterization of photo-induced 3D structures written by Laser.

Main aspects developed during the project:

Synthesis of new glass compositions

Fiber drawing of materials for infrared and mid-infrared.

Physicochemical and structural characterizations (Raman, NMR, luminescence, AFM, Electron microscopies: SEM, TEM, EDS, Auger).

Optical characterizations and laser functionality tests.

Profil recherché :
Candidate profile Master in matérial chemistry or material science

Candidater

[Contrat doctoral] Advanced ceramics for investment casting - Design for thermal shock resistance à Université de Limoges - IRCER

Wed, 15 Jul 2026 17:53:07 +0200

Objectives: Aiming to investigate how shell microstructure and cluster architecture affect thermal shock resistance in ceramic shell moulds. Advanced in-situ testing and multi-scale FEM modelling will be used to reveal key stress and damage mechanisms. The results will deliver predictive design rules and digital tools to support high-throughput casting strategy. In the long term, the developed numerical methodology must be integrated into the cluster design process.

Expected Results: Identification of critical thermal gradient thresholds; Definition of robust design rules for shell mould clusters ; Experimental validation of microstructure–thermal shock resistance; Multi-scale FEM models for crack risks; Delivery of digital twin with a certain level of validation; Proposal and assessment of new cluster architectures; Validation of optimised solutions through industrial trials.

Profil recherché :
Master’s level in Materials Science and/or Computational Methods in Mechanical Engineering. Candidates should be excellent in their skills for numerical method applied to thermo-mechanics, with some experiences. Familiarity with software such as Abaqus would be an advantage. Knowledge in material science, associated experimental characterisation techniques is also expected (experience with ceramic materials is appreciated). Oral and written communication skills (English) are also needed (experience with Finite Element Method software(s) is appreciated).

Candidater

[Contrat doctoral] Optimisation du processus de microfabrication de micropiliers pour le Fan-Out Wafer Level Packaging (FOWLP) à Institut interdisciplinaire d'innovation technologique - Université de Sherbrooke

Wed, 15 Jul 2026 17:53:07 +0200

Contexte :

Profil recherché :
Profil recherché : • Spécialisation en nanotechnologie, chimie, physique ou science des matériaux • Forte capacité d’adaptation, d’autonomie et de travail en équipe • Goût prononcé pour la conception, le travail expérimental en salle blanche, la recherche et le développement • Atouts : connaissances en micro-nanofabrication, l’assemblage et l’encapsulation de puces électronique

Candidater

[Stage] Intern - Mechanical Engineer à Aerleum

Wed, 15 Jul 2026 17:53:07 +0200

As a Mechanical Engineering Intern, you will support the design and development of the reactor’s mechanical systems and peripheral components. Working closely with the technical team, you will contribute to the optimization of our technology’s performance — from prototyping to industrial scale-up. This internship offers a unique opportunity to gain hands-on experience in a cutting-edge deep-tech environment and actively take part in building breakthrough solutions to tackle climate change.

Main Responsibilities:

Mechanical & Hardware Design

Support the design and development of the reactor’s mechanical systems, including peripheral devices (heat exchangers, piping, structural supports, etc.).
Participate in brainstorming sessions to propose improvements in reactor efficiency, durability, and performance.

Prototyping & Integration

Contribute to the assembly and testing of reactor prototypes at various development stages.
Assist in the integration of peripheral systems (control, safety, automation, etc.) with the reactor core.

Optimization & Scale-Up

Participate in the development and testing of full-scale prototypes.
Support efforts to optimize thermal and mechanical aspects of the system for scale-up.
Help identify potential improvements in system efficiency and cost-effectiveness.

Project Coordination & Documentation

Assist with equipment selection, supplier communication, and component tracking.
Help draft technical specifications and contribute to the documentation of procedures and design iterations.

Profil recherché :
Profile We are looking for someone with a strong technical background, hands-on mindset, and ability to drive innovation in complex engineering environments. Currently completing a PhD or Master’s degree in Mechanical Engineering, Materials Engineering, or a related field. First experience in mechanical design, ideally in the development of complex systems (reactors, thermal devices, etc.). Understanding of mechanical simulation tools (SolidWorks, ANSYS, or equivalent), as well as experience in prototyping and scaling up to industrial production. Strong team player with the ability to manage technical projects and collaborate across functions. Fluent in and English (written and spoken). Additional Assets Experience in energy systems, thermal systems, or carbon capture technologies is a plus! Additionally, fluency in French is appreciated.

Candidater

[Contrat doctoral] Vers une modélisation macroscopique des déflagrations en milieu encombré (Ref Th RES 26-03) à ASNR

Wed, 15 Jul 2026 17:53:07 +0200

Vous intégrez le Laboratoire de l'Incendie et des Explosions (LIE) du Service des Agressions Internes et risques Industriels (SA2I) rattaché au Pôle Sûreté des installations et des systèmes nucléaires à Cadarache. Le SA2I réalise des expertises concernant la maîtrise des risques d'incendies, d'explosions et induits par l'activité humaine et des travaux de R&D. Le LIE y a pour objectif principal d'améliorer la connaissance sur les risques incendie et explosion en milieu confiné et ventilé et de développer les modélisations physiques associées (voir le site).

Le sujet

Les études de risque pour les sites industriels conduisent parfois à modéliser des écoulements traversant des milieux très encombrés. C'est le cas, par exemple, lorsque l'on s'intéresse aux risques d'explosion de mélanges gazeux, à l'intérieur d'une installation complexe ; la présence d'une succession d'obstacles favorise alors, par génération de turbulence, la propagation du front de combustion. Ce phénomène dit "d'accélérations de flammes de prémélange" a une conséquence directe sur la sévérité de l'explosion. L'accélération de flamme est responsable d'une augmentation des niveaux de surpression et peut conduire, à l'extrême, à la transition vers la détonation. Dans un contexte non-réactif, mentionnons également la problématique de la formation d'atmosphère explosive pour laquelle les niveaux de concentration sont largement dominés par la turbulence et l'encombrement du milieu.

Pour l'ensemble de ces situations, il n'est souvent pas possible de décrire finement les différents obstacles, et une description macroscopique du milieu par changement d'échelle doit être introduite. Schématiquement, il s'agit d'établir le modèle physique gouvernant l'écoulement à l'échelle d'observation (grande échelle), en exploitant une description des phénomènes à l'échelle des obstacles (petite échelle). L'originalité de la situation à traiter tient dans le fait que, pour les écoulements industriels considérés, le changement d'échelle à réaliser est double, dans la mesure où les écoulements à la petite échelle sont eux-mêmes turbulents (donc eux-mêmes modélisés par un système d'équations satisfaits par des grandeurs moyennes et comportant des diffusions effectives traduisant des effets à une échelle encore inférieure). Les situations d'intérêt posent le problème d'une part de la modélisation de l'hydrodynamique de l'écoulement turbulent, à proprement parler et, d'autre part de la modélisation du transport d'un scalaire. Il peut s'agir dans le dernier cas de scalaires dits passifs comme la concentration d'espèces inertes ou, par opposition, de scalaires décrits à la petite échelle par des équations de transport avec terme source. D'un point de vue macroscopique, il s'agira d'estimer les tenseurs de dispersion et les taux de réaction effectifs en fonction des caractéristiques du milieu.

L'objectif principal de la thèse consiste à développer un modèle macroscopique d'écoulement turbulent en milieu encombré par une technique de changement d'échelle en se basant sur des simulations locales. On admettra que l'encombrement du milieu conduit à une séparation claire des échelles de description (faisceau de tuyaux...). Une modélisation de la turbulence par une approche de type RANS au premier ordre sera privilégiée. On abordera également dans ce travail le problème de la description macroscopique du transport turbulent de scalaires, en allant jusqu'au traitement des flammes de prémélange et au changement d'échelle associé à une variable d'avancement.

La thèse proposée s'articule selon deux grands axes. Le premier s'intéresse à la question de la définition d'un opérateur de moyenne sur un cas non réactif, au travers de comparaisons entre une prise de moyenne des données de référence (obtenues à la petite échelle par simulation des grandes échelles) avec les prévisions à la grande échelle d'un modèle de turbulence RANS macroscopique. Le second axe suivra une stratégie similaire en visant plus spécifiquement la problématique du transport réactif.

Profil recherché :
Formation école d'ingénieur ou master mécanique énergétique et/ou mécanique des fluides numériques

Candidater

[Autre] Postdoctoral Researcher – Schmidt AI in Science Fellow à University of Toronto Faculty of Arts and Science

Sat, 11 Jul 2026 17:53:10 +0200

The University of Toronto is pleased to announce the third call for applications for the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Sciences, which brings together the brightest minds who have completed a PhD in the natural sciences or engineering and who aim to pursue a research project that includes the application of artificial intelligence (AI) to their domain. The program will fund cutting edge applications of AI in the natural sciences and engineering and create a community of interdisciplinary leaders.

Applicants must demonstrate clear expertise and promise within their field of study. Experience with AI is not a requirement, but applicants must have a desire to learn new AI methodologies that stand to accelerate discoveries in their domain. These Fellowships will fund research and provide training in AI and related computational skills to support new directions in the application of AI. 

Application Deadline: Monday, October 5, 2026 (5PM EST)

Value: $85,000 CDN/year for 2 years

Award Start Date: Between May 1, 2027 and January 1, 2028

Full Guidelines: https://schmidtfellows.utoronto.ca/apply/

Contact Us: schmidtfutures@utoronto.ca

Applicants Must:

Demonstrate:

academic excellence and leadership in the research domain,
high potential for success in their chosen fields,
strong synergy between applicant, supervisor(s), and institutional research environment
potential for successful adoption of AI research methodologies

Hold a PhD degree in a natural sciences or engineering (NSE) discipline (includes computer science and mathematics).

Secure a supervisor (and co-supervisor, if applicable) who has a full-time budgetary tenure-stream appointment or a status-only appointment at the University of Toronto. If the primary supervisor does not have expertise in AI, a co-supervisor with expertise in AI is required.

Application Requirements:

Application Form
Research Proposal (3 pages max)
Bibliography (1 page max)
Training Plan (1 page max)
Candidate Statement (2 pages max)
Significance of Leadership Contributions (1 page max)
Applicant's CV
2 Letters of Reference

Candidater

[Autre] Tenure-Track Faculty Position in Materials Chemistry à Univ Notre Dame

Fri, 10 Jul 2026 17:53:09 +0200

The Department of Chemistry and Biochemistry at the University of Notre Dame expects to fill a tenure-track position in materials chemistry, particularly at the interface between physical and inorganic chemistry. Applicants at all ranks will be considered, with a preference for assistant professor-level candidates. Applicants must have a Ph.D. or equivalent. All candidates will be expected to contribute to the University's research, teaching, and service missions. Candidates will provide a cover letter, curriculum vitae, detailed research plan, and a statement of teaching philosophy and interests. Assistant professor-level applicants should also arrange for at least three letters of recommendation. All materials should be submitted to https://apply.interfolio.com/188873. Applications will be considered on a rolling basis but should be received by September 30, 2026, for full consideration.

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.

Candidater

[Autre] Director, High Energy Physics Division à Argonne National Laboratory

Fri, 10 Jul 2026 17:53:09 +0200

Argonne National Laboratory invites applications for the position of Director of the High Energy Physics (HEP) Division, a core research division within the Physical Sciences and Engineering Directorate. The HEP Division advances discovery at the frontiers of particle physics, cosmology, and theory, with the mission of understanding the fundamental constituents of matter and energy and revealing the nature of space and time. The Division plays leading roles in the conception, construction, and operation of some of the world’s most sophisticated scientific instruments, including particle accelerators, large-scale detectors, and precision cosmological survey facilities.
HEP research at Argonne integrates experimental, theoretical, and computational science. Division researchers leverage advanced computing capabilities for extreme-scale simulation and data analysis and develop methods to manage and interpret the vast data streams produced by modern experiments. Theoretical efforts complement these activities by driving conceptual advances and guiding experimental discovery.

Because High Energy Physics projects often involve large, complex collaborations spanning multiple institutions and nations, national laboratories play a uniquely critical role. The Division Director will provide scientific leadership, strategic vision, and operational stewardship for an internationally recognized research portfolio, while strengthening partnerships across the national laboratory system, universities, and global collaborations. This role includes developing and executing a compelling research vision aligned with Argonne’s mission and U.S. Department of Energy (DOE) priorities, strengthening external partnerships, and ensuring excellence in safety, organizational performance, and alignment with Argonne’s Core Values.

Key Responsibilities
• Provide visionary leadership to define and advance the Division’s scientific strategy and research priorities.
• Lead the development of ambitious, cohesive research agendas that leverage HEP and Argonne strengths to address foundational questions in particle physics, cosmology, and theory.
• Champion interdisciplinary research and partnerships across Argonne, academia, industry, government agencies, and international collaborations to enhance scientific impact.
• Manage Division operations, including research execution, staffing and talent development, financial planning, resource allocation, and performance evaluation.
• Foster a culture of collaboration and safety that enables scientists and staff to thrive.
• Serve as a principal advocate and spokesperson for the Division’s science to DOE sponsors, funding agencies, stakeholders, and the broader scientific community.
• Serve as the laboratory point of contact for DOE High Energy Physics.
• Develop and maintain relationships with multiple funding sources and strategic partners.
• Ensure compliance with federal, state, and laboratory policies and uphold high standards of scientific integrity, environmental stewardship, safety, and security.
• Serve on Argonne-wide and external committees to promote laboratory science programs and strategic perspectives.

Basic Qualifications
• Ph.D. in a relevant science or engineering field, supplemented by at least 15 years of experience that includes demonstrated accomplishments in scientific leadership.
• Demonstrated success in setting scientific direction, building and sustaining high-performing teams, and fostering interdisciplinary and collaborative research programs.
• Distinguished record of research accomplishments and the ability to secure competitive external funding.
• Excellent communication and interpersonal skills, with experience engaging senior leadership, government sponsors, and scientific peers.

Preferred Qualifications
• Experience in a leadership role within a national laboratory, research institute, or academic setting.
• Established relationships with DOE Office of Science programs and knowledge of federal research priorities in high energy physics and related fields.
• Track record of leading large-scale research initiatives, partnerships, and impact-oriented scientific agendas.
• Commitment to mentoring scientists and promoting a collaborative and high-performing research environment.

Applications should include a comprehensive curriculum vitae and a cover letter describing interest in the role, relevant leadership experience, and key credentials and accomplishments. We offer a competitive salary and an excellent benefits package. For consideration, please apply via our website at: http://www.anl.gov/hr/careers, refer to requisition #422916 or at High Energy Physics Division Director.

Candidater

[Autre] Tenure-track Assistant Professors à Okinawa Institute of Science and Technology Graduate University (OIST)

Fri, 10 Jul 2026 17:53:09 +0200

Open Faculty Positions

The Okinawa Institute of Science and Technology is an international, interdisciplinary graduate university in Japan, operating entirely in English and committed to empowering world-class researchers with the freedom, resources, and support they need to drive transformational discoveries.

We are seeking outstanding scientists to join our community as tenure-track faculty members, as part of an expansion in two broad areas. We aim to appoint two tenure-track assistant professors in each area:

Chemistry & Materials Science: broadly defined as including the physical sciences
Life Sciences & Neuroscience: including theoretical and AI approaches

We provide:

Core research funding for your scientific vision
Fully funded PhD students, postdoctoral researchers, lab technicians, and staff scientists
World-class core facilities and support staff
Opportunities for amplifying your scientific impact (e.g., technology transfer, outreach, collaborations, etc.)
Full administrative support and assistance with living and working in Okinawa
Competitive compensation package, including housing and commuting allowances, relocation support, family benefits, and dual-career opportunities

Our culture and environment:

No faculty hierarchies or departments
A thriving international research community representing 73 countries and territories
A vibrant, safe, multicultural setting on the beautiful island of Okinawa

Our Scientific Vision

OIST empowers faculty to pursue fundamental, curiosity-driven research while encouraging connections across disciplines. Our faculty publish in top-tier journals, lead international collaborations, and attract prestigious fellowships. We support researchers not only as scientists but also as mentors, leaders, and innovators.

To promote scientific excellence through a diverse and inclusive community, OIST actively encourages applications from women and other underrepresented groups. We provide a family-friendly working environment, including a bilingual child development center on campus.

Application documents (in English):

Cover letter
CV, with a lay summary of three publications of note
Research statement (up to 4 pages, minimum 11-point font, excluding references)
Teaching and mentoring statement (1 page)
Three letters of recommendation (to be uploaded by referees)

Deadline: October 1, 2026, at 12:59 PM JST, UTC+9:00

The starting date is negotiable.

Apply here: https://www.oist.jp/careers/faculty-positions

Inquiries:

Julia Khusnutdinov

Interim Associate Dean of Faculty Affairs

faculty-recruiting@oist.jp

Candidater

[Autre] Executive Director: Technology, National Facilities & Collections à CSIRO

Fri, 10 Jul 2026 17:53:09 +0200

Lead nationally significant capability. Enable globally impactful science.

Australia’s national science agency, CSIRO is one of the world’s largest and most respected multidisciplinary research organisations. For a century, CSIRO has delivered innovation breakthroughs with significant global impact that have transformed industries and improved lives worldwide.

Operating in a rapidly changing world, where science can and must continue to address national challenges, the organisation is entrusted with carrying out research that assists Australian industry, benefits the community and achieves national objectives.

As CSIRO enters its next phase of strategic impact, an outstanding leader is sought for the role of Executive Director Technology, National Facilities & Collections (TFNC). This sector brings together teams delivering impact in advanced technologies (like AI, robotics and quantum), world-class infrastructure (from radio telescopes to marine vessels), and unique national collections to power discovery from the ocean floor to deep space. They turn complex science into real-world solutions that drive innovation, inform decisions, and create new industries.

Reporting to the Chief Executive and as a key member of the Executive Team, this role will lead one of CSIRO’s most diverse and strategically critical portfolios spanning technology, national research infrastructure, scientific collections and space and astronomy. This role will ensure these capabilities are strategically aligned, effectively governed and delivering impact for Australia and internationally.

The successful candidate will be an exceptional senior executive and science or technology leader, with a track record of leading large, complex, mission-driven organisations. You will bring deep experience translating technology, infrastructure or research capability into real-world impact, strong strategic and financial capability, and the ability to build influential partnerships across government, industry and academia.

A leadership style grounded in integrity, collaboration and purpose, combined with the ability to operate at the highest levels of government, research and innovation, will be essential to success in this role.

To Apply
Odgers is assisting CSIRO with this appointment.

For further information or a confidential discussion, contact the consultants leading the search: Mazin Al Maimani at Mazin.Almaimani@odgers.com or Caroline Dever at caroline.dever@odgers.com.

Closing date: 11.55pm on Friday 31 July 2026.

All applications should be submitted via the Odgers website. www.odgers.com/96391

Candidater

[Autre] Faculty Positions in Westlake University à Westlake University

Tue, 07 Jul 2026 17:53:09 +0200

ABOUT US

Westlake University is a non-profit, research-oriented university founded by leading scientists and supported by both public and private funding. Located in Hangzhou, one of China’s most vibrant innovation hubs, the University is committed to advancing fundamental and frontier research, fostering interdisciplinary integration, and cultivating future leaders in science and technology.

With two campuses now in full operation, Westlake University offers a dynamic research environment supported by state-of-the-art facilities and strong institutional backing for research initiatives. An internationally aligned tenure-track and tenured faculty system provides clear and predictable career pathways, empowering scholars to pursue ambitious research and achieve professional growth.

Comprising the School of Science, the School of Engineering, the School of Life Sciences, and the School of Medicine, the institution fosters an open, diverse, and globally oriented academic ecosystem dedicated to original inquiry and long-term scholarly impact.

CAREER OPPORTUNITIES

Faculty Positions are open at four distinct ranks: Assistant Professor, Associate Professor, Full Professor, and Chair Professor.

Each faculty member will receive an internationally competitive salary and a fringe benefits package that includes a generous housing option, a high-end medical care plan for the entire family, generous retirement pension, and schooling assistance for children.

Each faculty member is provided with an internationally competitive start-up package that includes long-term and sufficient research funds, ample laboratory space, excellent equipment and research support. Stable financial support safeguards every research project that is designed to push the envelope of human knowledge.

The research disciplines include, but are not limited to: all major branches of engineering, life sciences, medicine, mathematics, chemistry, physics, and interdisciplinary fields. For more information, please visit: https://en.westlake.edu.cn/

REQUIRED DOCUMENTS

Please send the following application documents in PDF format to talents@westlake.edu.cn

- Cover Letter

- Curriculum Vitae & your up-to-date CV with publication list

- Statement of Research Summary and Research Proposal (3-5 pages)

REFERENCE REQUIREMENTS

For junior candidates who apply to tenure-track positions, 3 letters of reference should be arranged to be sent by referees directly to talents@westlake.edu.cn.

CONTACTS

Office of Human Resources, Westlake University

Yungu Campus Address: 600 Dunyu Road, Sandun Town, Xihu District, Hangzhou, Zhejiang Province 310030, CHINA

Yunqi Campus Address: 18 Shilongshan Road, Cloud Town, Xihu District, Hangzhou, Zhejiang Province 310024, CHINA

Review of applications will start upon receipt and will continue until the positions are filled.

For exceptional applicants recommended by the faculty search committee, we will schedule interviews immediately.

Candidater

[Autre] Automation Software Engineer F/M à ESRF

Sat, 04 Jul 2026 17:53:08 +0200

Context & Job description

Power-to-X (PtX) technologies, including hydrogen production, are expected to address key challenges of the green transition that current electricity generation and storage methods cannot easily solve. In the coming years, these technologies are poised to become a major industrial sector and a critical enabler of a carbon-neutral society.

The ESRF plays a key role in the routine characterization of materials for Power-to-X (PtX) technologies.

As part of a group of 50 engineers, you will participate in a project focusing on the automation of data acquisition and data processing for rapid characterization of samples.

You will work in close collaboration with software engineers working on integration of hardware, graphical interfaces, data processing and metadata collection and web portals. You will interact with scientists and users to automate their needs during experimental sessions.

Your missions will be the following:

integrate and automate hardware devices in the beamline control system
automate data processing and data publication
provide graphical tools for experiment configuration and data visualization
train users in the use of these tools.

Expected profile

Master’s degree (or equivalent qualification totalling 300 ECTS) in Computer Science, Engineering, Natural Sciences, or a related discipline.
Minimum of two years’ relevant professional experience.
Strong working knowledge of Python.
Solid understanding of metadata concepts and common data formats.
Experience in developing desktop and web-based graphical applications is a plus.
Comfortable working in a Linux environment.
Interest in scientific research is considered an asset.
Professional proficiency in English (working language at ESRF).

Working conditions

Temporary contract of 36 months maximum, depending on the progress of the project.

The salary will be calculated on the basis of relevant qualifications and professional experience.

Do you recognize yourself in this description? Apply now for your next professional adventure!

What we offer:

Join an innovative international research institute, with a workforce from 38 different countries
Collaborate with global experts to advance science and address societal challenges
Come and live in a vibrant city, in the heart of the Alps, and Europe's Green Capital 2022
Enjoy a workplace designed to support your quality of life
Benefit from our competitive compensation and allowances package, including financial support for your relocation to Grenoble

For further information on employment terms and conditions, please refer to https://www.esrf.fr/home/Jobs/what-we-offer.html

The ESRF is an equal opportunity employer and encourages applications from disabled persons.

Company description

The European Synchrotron, the ESRF, is an international research centre based in Grenoble, France.

Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities worldwide. Its particle accelerator produces intense X-ray beams that are used by thousands of scientists each year for experiments in diverse fields such as biology, medicine, environmental sciences, cultural heritage, materials science, and physics.

Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity.

Candidater

[Autre] Senior FPGA Engineer à ESRF

Sat, 04 Jul 2026 17:53:08 +0200

Context & Job description

Within the Instrumentation Services and Development Division, the Electronics Unit develops advanced instrumentation for the ESRF accelerator complex and experimental stations (beamlines). We design instrumentation that operates under demanding requirements for precision timing, deterministic control and high-throughput data acquisition in support of world-class scientific research.

As a Senior FPGA Engineer, you will play a key role in designing the next generation of FPGA-based instrumentation used across the accelerator complex and beamlines. You will contribute to challenging developments involving detector readout, data acquisition, embedded control and real-time digital signal processing, working alongside experts in electronics, software, control systems and accelerator physics.

This is a hands-on technical role for an experienced FPGA engineer who enjoys taking ownership of complex developments, from system architecture and RTL design through verification, integration and deployment. Working within multidisciplinary teams, you will deliver reliable, high-performance FPGA solutions while helping shape the Electronics Unit's FPGA development practices and technical roadmap.

Main Responsibilities:

Design and develop FPGA architectures for real-time instrumentation, data acquisition, control and synchronisation systems. Implement, verify and optimise FPGA designs with a strong focus on timing closure, deterministic behaviour, resource efficiency and long-term maintainability.
Contribute to the architecture of complete instrumentation systems in close collaboration with electronics, embedded software, controls and scientific teams.
Lead the FPGA technical activities within multidisciplinary projects and provide technical guidance throughout the development lifecycle.
Support the integration, commissioning and long-term maintenance of FPGA-based instrumentation for the accelerator complex and beamlines.
Promote engineering excellence through reusable FPGA IP, design reviews, clear documentation and robust development practices.
Evaluate emerging FPGA technologies, devices and design methodologies, contributing to the Electronics Unit's technology roadmap.

Expected profile

Master's degree (or equivalent, 300 ECTS) in Electronics, Electrical Engineering or a closely related discipline. A PhD is an advantage.
Extensive experience in FPGA design and development, typically acquired over 10 or more years, covering architecture, implementation, verification and deployment.
Strong understanding of FPGA design principles, including timing closure, clock domain crossing, pipelining, resource optimisation and high-speed digital design.
Experience developing FPGA-based systems for data acquisition, digital signal processing, embedded control or real-time instrumentation, including high-speed interfaces and communication protocols.
Good understanding of digital electronic systems and their interaction with FPGA-based designs.
Experience leading complex technical developments and collaborating effectively within multidisciplinary engineering teams.
Excellent analytical, problem-solving and communication skills.
Proficiency in English, the working language of the facility.
Familiarity with software tools used for hardware verification, automation and testing (Python, C/C++, Git and CI-based development workflows).

Working conditions

Permanent contract.

The salary will be calculated on the basis of relevant qualifications and professional experience.

Looking for your next professional adventure? Apply today!

What makes the ESRF experience unique…

Join an innovative international research institute, with a workforce from 38 different countries
Collaborate with global experts to advance science and address societal challenges
Come and live in a vibrant city, in the heart of the Alps, and Europe's Green Capital 2022
Enjoy a workplace designed to support your quality of life
Benefit from our competitive compensation and allowances package, including financial support for your relocation to Grenoble

For further information on employment terms and conditions, please refer to "What we offer" section of our Careers page https://www.esrf.fr/Jobs

The ESRF is an equal opportunity employer and encourages applications from disabled persons.

Company description

The European Synchrotron, the ESRF, is an international research centre based in Grenoble, France.

Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity.

Candidater

[Autre] Visiting Professor à The Institute for Solid State Physics, The University of Tokyo

Thu, 02 Jul 2026 17:53:09 +0200

Visiting Professor Positions

The Institute for Solid State Physics
The University of Tokyo, Japan

The Institute for Solid State Physics (“ISSP”) of the University of Tokyo invites applications for its Visiting Professor positions, as part of its efforts to promote research collaboration with external researchers. Up to five positions are expected to be filled, with appointment terms ranging from three to twelve months. The specific appointment dates, which will start at the earliest in September 2027, will be determined in discussion with the host professor. We are seeking applicants from areas where the applicants and ISSP researchers can collaborate based on their mutual interest, the result of which is expected to contribute to significant scientific advancement. At ISSP, many research activities are conducted in the areas of condensed matter physics, but related projects may also be considered.

Successful candidates must demonstrate academic and scientific excellence, as well as timeliness and good interpersonal skills to get along well with ISSP colleagues.

For application or more information about the openings, including salary and other employment conditions, please first contact an ISSP faculty member that could become an appropriate host. After discussions, you will need to submit the following documents to your prospective host by no later than July 31, 2026:

CV
List of publications
Brief outline of research proposal
Three names of reference

No applications will be accepted after the deadline. The applications received will be reviewed by the Selection Committee in its 2026 fall meeting.

Please note that the Visiting Professorship position at ISSP has an employment status. In accordance with the University's employment procedures, you will need to provide a letter from your home institution confirming your commitment to engage in activities related to UTokyo during your stay with us.

To promote diversity and inclusion within the institute, ISSP welcomes and encourages applications from foreign female researchers.

According to the Foreign Exchange and Foreign Trade Act (FEFTA) and other regulations, if you hold a concurrent position with an overseas organization or receive a substantial amount of income from a foreign government or other sources that restrict the sharing of your research skills and outcomes at UTokyo, you may have difficulty fulfilling your responsibilities as a member of the UTokyo faculty. Any subsequent dual employment and others after assuming the position should be limited to the extent that it does not interfere with the sharing of research skills and outcomes at UTokyo.

Candidater

[Autre] University of Chinese Academy of Sciences (UCAS) Global Faculty Recruitment à University of Chinese Academy of Sciences

Thu, 02 Jul 2026 17:53:09 +0200

I. About UCAS

The University of Chinese Academy of Sciences (UCAS), (www.ucas.ac.cn), headquartered in Beijing, is a prestigious research university operating under the Chinese Academy of Sciences (CAS). Adopting a distinctive “Research-Education Integration” model, UCAS combines the academic strength of CAS research institutions, a large faculty of leading scientists and access to top-tier research facilities to cultivate future leaders in science, technology and innovation.

UCAS’s main campus is located in the core area of the Beijing Huairou Comprehensive National Science Center, one of the world’s most concentrated hubs for major science and technology facilities. The center features 37 major science facilities spanning five scientific domains—matter, space, life sciences, earth systems and artificial intelligence. In close synergy with CAS research institutes, UCAS faculty are uniquely positioned to conduct groundbreaking interdisciplinary research to tackle major scientific challenges of global concern.

UCAS invites applications for multiple faculty positions in areas of artificial intelligence, quantum science and technology, space exploration and etc. We are seeking distinguished scholars who will teach at UCAS while conducting research at CAS institute platforms—focusing first on over 20 key areas. Early-career scientists worldwide are also invited to apply through UCAS for the National Natural Science Foundation of China (NSFC) Excellent Young Scientists Fund Program (Overseas)–a prestigious national program supporting outstanding researchers returning to work in China.

II. Priority Areas

Artificial Intelligence

Brain-Computer Interface and Brain-inspired Intelligence Embodied Intelligence Game Intelligence and Multi-Agent Systems AI for Science Other Fundamental Issues of AI

AI+Chemistry

AI-enabled design of next-generation key organic semiconductor materials AI-enabled design of new-generation ultra-high-performance polymer materials AI-enabled resource recycling chemistry

Quantum Science and Technology

Physical implementation of quantum error correction Scalability and controllability of large-scale quantum systems Experimental realization and verification of topological quantum computing Novel quantum phenomena and quantum matter Quantum sensing and metrology Non-equilibrium states and complex interactions in quantum devices

Space Exploration

Origin-Oriented Exploration in Space Science High-Resolution Observation and Modeling for Space Weather Dynamic Processes Microwave Remote Sensing and Intelligent Perception: Technologies and Applications for Planetary System Environments Fundamental research on key technologies for air-breathing electric propulsion Fundamental research on key technologies for supersonic aircraft engines Fundamental research on key intelligent technologies for unmanned aerial vehicle （UAV）clusters Planetary Environments and Extraterrestrial Life Comparative Planetary Evolution Space Resources Exploration and Utilization Space Frontier: Exploration and Utilization Embodied Intelligence for Biomimetic Navigation Engineering-Grade In-Space Intelligent Fabrication

Other Fundamental and Frontier Interdisciplinary Areas

Mathematics Biosynthesis and biomanufacturing Brain-computer interfaces Integrated circuits

III. Positions and Qualifications

Tenured Professor

Active engagements in teaching and research at the frontiers of a designated research field, with internationally-recognized academic accomplishments; ; Significant global visibility and influence and meets the qualifications for a tenured position at a world-class university.

Tenured Associate Professor

Proven teaching capabilities; has done original and significant research work; notable international visibility and influence and meets the standards of a a tenured associate professor at a world-class university.

Tenure-Track Assistant Professor / Tenure-Track Associate Professor：

Ph.D. required, with an exceptional record of achievements and strong potential for future development in a designated field. Overseas candidates with at least four years of experience as an Assistant Professor at a renowned university may apply for tenure-track Associate Professor.

IV. What we offer

· Compensation & Benefits: UCAS and its partner institutes offer a competitive combined salary package; Eligible candidates may rent university talent apartments and receive a one-time living subsidy based on qualifications.

· Start-up Research Fund: Generous start-up funding tailored to position.

· Research Platforms: Access to major research infrastructure platforms of CAS institutes in Beijing Huairou Science City, enabling cutting-edge collaborative research.

· Research Team: Guaranteed PhD student quotas and support for hiring postdoctoral and other research staff.

V. Applications

Please submit your application package, including your CV (with a summary of teaching and research achievements, five representative publications and a research plan), via the QR code below.

Application Link

This recruitment initiative is open year-round. We look forward to welcoming global talents to join UCAS and build the future together!

Contact Information:

UCAS Human Resources

Ms. Li, Ms. Jin

Tel: +86-10-69671353, 69671096, 69671595

Email: jobs@ucas.ac.cn

Candidater

[Autre] Professors of Artificial Intelligence & its Mathematical & Computational Foundations (f/m/d) à ETH Zurich

Thu, 02 Jul 2026 17:53:09 +0200

Professors of Artificial Intelligence and its Mathematical and Computational Foundations (f/m/d)

ETH Zurich is establishing a new centre for teaching and research in Heilbronn, Germany, dedicated to advancing a human-centred digital future. Embedded in one of Europe’s most dynamic digital innovation ecosystems, the ETH Zurich Campus Heilbronn (www.heilbronn.ethz.ch) will bring together researchers, students, industry, and society to explore bold ideas, foster interdisciplinary collaboration, educate and inspire student talents, and develop solutions for the challenges and opportunities of the digital age – shaping innovation with excellence, responsibility, and impact.

The Departments of Computer Science (D-INFK; www.inf.ethz.ch) and Mathematics (D-MATH; www.math.ethz.ch) at ETH Zurich invite applications for tenured faculty positions in Artificial Intelligence and its Mathematical and Computational Foundations. We seek outstanding scholars across the broad landscape of modern AI, including the mathematics of deep learning, large language models, and computational methods for AI systems.

Successful candidates are expected to provide academic leadership by establishing, managing, and continuously advancing a high-impact research group; co‑developing and implementing an internationally visible and innovative educational programme grounded in modern teaching approaches; contributing to teaching (in English) and to the supervision of students and early‑career researchers; actively collaborating with academic, industrial, and societal partners in Germany, Switzerland, and internationally, while maintaining close ties with ETH Zurich in Switzerland; engaging in knowledge and technology transfer activities.

Ideal candidates are inspired by the unique opportunity to join ETH Zurich in Heilbronn from the outset and help shape an open, collaborative, and integrity‑driven campus culture aligned with the values and strategic vision of ETH Zurich.

ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a covering letter; a curriculum vitae; a list of publications; three statements on a) research, b) teaching, c) leadership; descriptions of the three most important achievements; and a certificate of the highest degree. Please note that the covering letter should be formally addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 30 September 2026.

Candidater

[Autre] Professor of Generative AI in Visual Computing (f/m/d) à ETH Zurich

Thu, 02 Jul 2026 17:53:09 +0200

Professor of Generative AI in Visual Computing (f/m/d)

The Department of Computer Science (D-INFK; www.inf.ethz.ch) at ETH Zurich invites applications for a tenured faculty position in Generative AI in Visual Computing. The new professor is anchored in computer science and visual computing and will lead an internationally high‑profile research and teaching programme focused on the development of foundational models and systems for generating, understanding, and interacting with visual and multimodal content and environments. Relevant research areas include, but are not limited to, generative models for images, video, and 3D content; multimodal and world models; neural rendering; simulation and animation; and digital, intelligent characters.

The successful candidate is expected to provide academic leadership by establishing, managing, and continuously advancing a high-impact research group; co‑developing and implementing an internationally visible and innovative educational programme grounded in modern teaching approaches; contributing to teaching (in English) and to the supervision of students and early‑career researchers; actively collaborating with academic, industrial, and societal partners in Germany, Switzerland, and internationally, while maintaining close ties with ETH Zurich in Switzerland; engaging in knowledge and technology transfer activities.

ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples.

Please apply online: www.facultyaffairs.ethz.ch

Candidater

[Autre] Professors of Cybersecurity (f/m/d) à ETH Zurich

Thu, 02 Jul 2026 17:53:09 +0200

Professors of Cybersecurity (f/m/d)

The Departments of Computer Science (D-INFK; www.inf.ethz.ch) and Information Technology and Electrical Engineering (D-ITET; www.ee.ethz.ch) at ETH Zurich invite applications for tenured faculty positions in the area of Cybersecurity. Applications from all areas within Cybersecurity, interpreted broadly, are encouraged. Potential topics include but are not limited to foundations for information security (including cryptography, and formal methods), system security (hardware, software, platforms) across a wide range of systems, network and wireless security, AI security, human factors in security, and privacy.

ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a covering letter; a curriculum vitae; a list of publications; three statements on a) research, b) teaching, c) leadership; descriptions of the three most important achievements; and a certificate of the highest degree. Please note that the covering letter should be formally addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 30 September 2026.

Candidater

[Autre] Automation Engineer III (Relocation Assistance) à Resilience

Wed, 01 Jul 2026 17:53:09 +0200

A career at Resilience is more than just a job – it’s an opportunity to change the future.

Resilience is a technology-focused biomanufacturing company that’s changing the way medicine is made. We’re building a sustainable network of high-tech, end-to-end manufacturing solutions to better withstand disruptive events, serve scientific discovery, and reach those in need.

For more information, please visit www.resilience.com

Position Summary

The Automation Engineer III is responsible for delivering technical projects for the manufacturing intelligence and automation systems for an Inspection, Device Assembly, and Packaging facility. The engineer will provide change management and lifecycle analysis for systems within their area of expertise. This position will be located at our Blue Ash facility.

Responsibilities

Interface with several types of equipment and systems, including but not limited to PLCs, SCADAs, HMIs, Servers, Databases, Data Historian, Visualization, and other automation equipment.
Experience with networking, including but not limited to VLAN, Subnets, and IP protocols.
Participate and support in the design, optimization, commissioning, or validation of newly procured or existing equipment as the automation lead.
Consult cross-functionally and assist system owners in process development as the automation subject matter expert.
Review and approve requirements, specifications, drawings, coding procedures, and guidelines.
Provide technical guidance and train others on systems, software, equipment, machines, procedures, and/or processes.
Communicate priorities and progress to the team on a continuing basis.
High technical ability with a troubleshooting approach.
Identify temporary and permanent fixes to address issues.
Review and approve documentation needed for the qualification of equipment and processes.
Author, review, and revise SOPs and specifications to maintain equipment, systems, and/or facilities.
Ensure proper documentation practices during maintenance processes.
Recommend and initiate activities to ensure area and equipment are maintained in a state of compliance.
Assess and implement improvements in productivity, waste generation, quality, and cost.
Lead and coordinate investigations and studies with little supervision.
Interact with regulatory agency personnel during audits and inspections.
Perform quality audits to ensure devices used are in proper working condition.
Provide 24/7 support to others as part of a rotating on-call support system.
All other tasks as needed or assigned by the supervisor.

Minimum Requirements

Significant experience supporting manufacturing operations in a regulated or cGMP environment
Experience with the following Automation systems (PLC, HMI, SCADA): Rockwell, Inductive (Ignition), or Siemens (Desigo CC)

Preferred Background

Bachelor’s degree in engineering, computer science, or a related discipline
Experience with Data Historian and Visualization systems such as Aveva PI (OSI PI)
Experience with Microsoft SQL database design
Knowledge of GAMP 5 and ISA standards
Knowledge of GMP principles (change control, deviation, CAPA, validation, and qualification)

This position may also include the following conditions:
Sitting and working on computers, meeting with stakeholders for design requirements, working with vendors and regulatory authorities, occasionally working on the plant floor and interacting with equipment.

The items described here are representative of those that must be met successfully to perform the essential functions of this job.

Sponsorship or support for work authorization, including visas, is not available for this position.

Resilience is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, physical or mental disability, genetic information, or characteristic, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Requests for reasonable accommodation can be made at any stage of the recruitment process.

Resilience offers employees a robust total rewards program including an annual cash bonus program, a 401(k) plan with a generous company match and our benefits package which is thoughtfully designed to support our employees with great healthcare (including medical, dental and vision), family building benefits, life and disability insurance, flexible time off, paid holidays, other paid leaves of absence, tuition reimbursement and support for caregiving needs. Our target base pay hiring range for this position is $80,000.00 - $121,250.00 per year. Actual base pay is dependent upon a number of factors, including but not limited to, the candidate’s geographical location, relevant experience, qualifications, skills and knowledge. Excited about Resilience and the biomanufacturing revolution? We encourage you to apply and start a conversation with one of our recruiters.

Apply Here

PI285527216

Candidater

[Autre] Become a Harvard Radcliffe Institute Fellow à Radcliffe Institute for Advanced Study

Tue, 30 Jun 2026 17:53:09 +0200

Applications for the 2027-2028 Fellowship | Harvard Radcliffe Institute

A fellowship year at Harvard Radcliffe Institute is an opportunity for scientists to step away from usual routines and dive deeply into a project in a uniquely interdisciplinary and creative community. Radcliffe supports engaged scholarship, through which fellows develop new tools and methods, communicate their research to new audiences, and shed light on our past and present.

Fellowship Program Details

Radcliffe Institute fellows are in residence for a period of nine months from September 1, 2027, through May 31, 2028. Fellows are expected to be free of their regular commitments so that they may fully devote themselves to their project and engage with members of the fellowship cohort.    
Each fellow is provided with a private office space
Fellows also receive a $78,000 stipend plus an additional $5,000 to cover project expenses, access to Harvard’s research facilities and libraries, and professional development workshops throughout the year.

Application Deadline: October 1, 2026 at 5:00 PM Eastern Time

Please visit our website for more information.

Candidater

[Autre] Professor in Integrated Circuit Systems, Tohoku University à Tohoku University

Tue, 30 Jun 2026 17:53:09 +0200

Tohoku University invites applications for a Professor in Integrated Circuit Systems at the Research Institute of Electrical Communication (RIEC), Tohoku University. The successful candidate will conduct research and education on low-power, highly efficient information-processing hardware, including integrated circuit design based on new architectures and device technologies such as nonvolatile memories.

Application deadline: August 28, 2026

For full details, including application materials and submission instructions, please visit:
https://www.riec.tohoku.ac.jp/en/koubo-en/2026052102/

Candidater

[Autre] Professor of Solid-State Materials à ETH Zurich

Sat, 27 Jun 2026 17:53:09 +0200

Professor of Solid-State Materials

The Department of Chemistry and Applied Biosciences (www.chab.ethz.ch) at ETH Zurich and the PSI Center for Neutron and Muon Sciences (CNM, www.psi.ch/en/cnm) at the Paul Scherrer Institute (PSI), Villigen (www.psi.ch) invite applications for a joint professorship in Solid-State Materials.

The new professor will lead, in a joint appointment with ETH Zurich, the Laboratory for Multiscale materials eXperiments (LMX) in CNM, and will thus benefit from the access to PSI’s unique large-scale experimental facilities and analytical infrastructure infrastructure (Swiss spallation neutron source SINQ, Swiss muon source SµS, Swiss light source SLS, and the Swiss free electron laser SwissFEL). An excellent international record of research accomplishments in the following areas is anticipated (non-exhaustive list): materials discovery, advanced structural characterization, electronic materials, and quantum materials, 2D-materials and their applications in electronic and optoelectronics.

The research programme at the interface of inorganic chemistry, condensed matter physics, and materials science may include design, synthesis, characterization and applications of solid-state inorganic materials. High-quality, single-crystalline materials may be produced using a wide range of synthetic approaches, including solid-state, flux, chemical vapor deposition, and thin-film growth methods. The materials scope could cover high-quality single-crystalline materials from bulk crystals to thin films and heterostructures to 2D materials, to drive the discovery of novel materials offering transformative potential for devices in quantum technologies, neuromorphic computing, energy harvesting, and optoelectronics. Avenues for characterization methods may include X-ray, scattering, total- and diffuse scattering methods, advanced solid-state NMR, and electronic and spin spectroscopy using neutron and muon spin rotation techniques. Highly welcome are research programs that foster synergies with the Paul Scherrer Institute's facilities (SINQ, SµS, SLS, SwissFEL) and the European Spallation Source in Sweden.

Strong and proven leadership skills, demonstrated by a track record for leading a large group or unit, are essential. The future professor is expected to develop a strong international world-class research programme in solid-state materials, while offering support and mentorship to several existing research groups within the organizational unit (LMX). In particular, LMX is responsible for the operation and exploitation of the novel material synthesis facilities to be installed in state-of-the-art Quantum Materials and Materials Discovery Center (QMMC).

The successful candidate should hold a Ph.D. or similar degree in chemistry, material sciences, physics or in a related field. Strong motivation and clear commitment to student education is a prerequisite as the future professor will be involved in teaching at the undergraduate (German or English) and graduate (in English) levels.

ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples.

Please apply online: www.facultyaffairs.ethz.ch

Applications should include a covering letter; a curriculum vitae; a list of publications; three statements on a) research, b) teaching, c) leadership; descriptions of the three most important achievements; and a certificate of the highest degree. Please note that the covering letter should be formally addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is the 25th August 2026.

Candidater

[Autre] Independent Investigator Fellowship Program à National Institute of Biological Science, Beijing

Fri, 19 Jun 2026 17:53:09 +0200

Independent Investigator Fellowship Program

National Institute of Biological Sciences, Beijing (NIBS)

The National Institute of Biological Sciences, Beijing (NIBS) also known as the Tsinghua Institute of Multidisciplinary Biomedical Research (TIMBR) within Tsinghua University.

The National Institute of Biological Sciences, Beijing (NIBS) invites applications from outstanding early-career scientists for the Independent Investigator Fellowship Program.

A Different Path to Scientific Independence

Many of the most transformative discoveries in biology were made by scientists at an early stage of their careers, when they were free to pursue bold ideas and challenge established paradigms. Yet in today's biomedical research ecosystem, the path to independence has become increasingly prolonged. Talented young scientists often spend many years in postdoctoral positions before having the opportunity to establish their own research programs.

NIBS believes that exceptional scientists should have the opportunity to pursue independence earlier.

The Independent Investigator Fellowship Program was established to accelerate the transition from doctoral training to scientific leadership. Rather than serving as another postdoctoral position, this program provides outstanding young scientists with the resources, mentorship, and intellectual freedom necessary to develop their own research vision and establish an independent scientific identity.

Our goal is to identify future leaders in biomedical research and provide them with the opportunity to begin leading independent research programs at an earlier stage of their careers.

Eligibility

Applicants should have received their Ph.D., M.D., or equivalent doctoral degree within the past three years and should demonstrate exceptional scientific achievement, creativity, and potential for independent research leadership.

Applicants from all areas of modern biomedical research are encouraged to apply.

Fellowship Support

Successful fellows will receive:

Three years of internationally competitive salary and research support
Flexible funding of RMB 1.5 million per year, to be used at the fellow's discretion in support of their independent research program
Access to 16 state-of-the-art technology core facilities spanning transgenic animal resources, proteomics, imaging, biophysics, chemical biology, bioengineering, bioinformatics, AI-enabled research capabilities, and other advanced biomedical research technologies
Mentorship from senior faculty members selected by the fellow
Full scientific independence and ownership of their research accomplishments
The opportunity to recruit and supervise up to two graduate students
Subsidized housing
Comprehensive administrative and operational support for establishing and managing an independent research program

An Environment Designed for Discovery

NIBS provides a uniquely supportive environment for young investigators. Our centralized research infrastructure allows fellows to pursue ambitious scientific questions without first building extensive technical capabilities. Fellows are encouraged to tackle important and challenging problems, develop original research directions, and establish collaborations across disciplines.

Faculty mentors are committed to helping fellows succeed while fully respecting their scientific independence. Fellows will receive guidance, advice, and access to institutional resources while retaining ownership of their ideas, discoveries, publications, and scientific achievements.

Importantly, the fellowship is not intended as an extension of postdoctoral training. Fellows are expected to pursue original research directions and will be evaluated as independent investigators rather than as trainees.

The program is designed as an accelerated pathway for exceptional young scientists to establish themselves as independent investigators and future leaders of the biomedical research community.

Application Materials

Applicants should submit:

Curriculum Vitae (CV)
Research Proposal
Three Letters of Reference

Applications will be evaluated based on scientific accomplishment, originality, creativity, and potential for future leadership in biomedical research.

Commitment to Diversity

NIBS is committed to building a diverse, inclusive, and intellectually vibrant scientific community. We welcome applications from outstanding scientists of all genders, nationalities, and ethnic backgrounds.

Shape the Future of Biomedical Research

If you are an ambitious young scientist with a bold idea and the determination to pursue it, we encourage you to apply.

NIBS is committed to creating an environment where exceptional talent can achieve scientific independence earlier, pursue transformative discoveries, and help define the future of biomedical research.

For application instructions and inquiries, please contact:

Email: fellowrecruit@nibs.ac.cn

Application Deadline: 31 August, 2026

Website: http://nibs.ac.cn

Candidater

[Autre] Postdoctoral Fellow à University of Missouri

Fri, 19 Jun 2026 17:53:09 +0200

The Dai group in the Bond Life Sciences Center (Chemical and Biological Engineering Department in the University of Missouri) invites self-motivated and adaptable researchers to join our highly interdisciplinary team in the bioenvironmental/chemical and synthetic biology lab. The ideal candidate will develop novel bio-based materials, study various environmental contaminants, resource recovery, and work on scale-up. Some of our recent papers in this area include Nature Commun 16, 11570 (2025), Nature Commun 16, 6649 (2025), Green Chem, 26, 10139 (2024), Nature Commun 13, 4368, (2022), Matter 5, 3513 (2022), Joule 9, 101769, (2025), Chem, 8, 3363 (2022)

Research Areas

Successful candidates will work at the interface of material engineering, catalysis, systems biology, and synthetic biology, with opportunities spanning:

Development of novel bio-based materials for environmental and biotechnological applications
Study of environmental contaminants, resource recovery, and process scale-up
Advanced materials characterization and analytical method development using GCMS, LCMS, and related instruments

Projects emphasize both methodological development and environmentally/biologically relevant applications, with access to advanced instrumentation and strong interdisciplinary collaborations.

Qualifications

Ph.D. in chemistry, chemical engineering, materials science, synthetic biology, or a closely related field. Strong background in one or more of: organic chemistry, catalysis, material engineering and characterization, or synthetic biology; Hands-on experience with advanced analytical instruments such as GCMS, LCMS, and material characterization techniques preferred; Ability to work independently and collaboratively in a multidisciplinary environment.

The lab is dynamic, collaborative, and supportive, working with broad partners across the US on high-impact research: https://www.dai-lab.com

Our laboratory nurtures a collaborative environment with ample opportunities for grant writing, professional training, and career development routes. The laboratory is highly multidisciplinary and scientifically integrated. For all positions, salary is commensurate with experience, and full-scale state employee benefits will be provided. Columbia, in Missouri, is a great place to live, offering a small-town environment near major cities. If you are interested in such a position, please contact Dr. Susie Dai at sydai@missouri.edu.

Candidater

[Autre] Senior Scientist, Formulation and Delivery Sciences à Ionis Pharmaceuticals Inc

Wed, 17 Jun 2026 17:53:08 +0200

Headquartered in Carlsbad, California, and with offices in Boston, Massachusetts, and Dublin, Ireland, Ionis has been at work for more than three decades discovering medical breakthroughs that have redefined life for people with serious diseases. We’re pioneers in RNA-targeted medicines, and our platform continues to revolutionize drug discovery and transform lives for patients with unmet needs. With multiple marketed medicines and a leading pipeline in neurology, cardiology and select areas of high patient needs, we continue to drive innovation in RNA therapies in addition to advancing new approaches in gene editing to provide greater value to patients and are well positioned financially to deliver on our strategic goals.

At Ionis, we pride ourselves on cultivating a challenging, motivating and rewarding environment that fosters innovation and scientific excellence. We know that our success is a direct result of the exceptional talents and dedication of our employees.

With an unprecedented opportunity to change the course of human health, we look to add diverse individuals, skill sets and perspectives to our exceptional team. We continue to invest time, money and energy into making our onsite, hybrid and remote work environments a place where solid and lasting relationships are built and where our culture and employees can thrive.

We’re building on our rich history, and we believe our greatest achievements are ahead of us. If you’re passionate about the opportunity to have meaningful impact on patients in need, we invite you to apply and join us. Experience and contribute to our unique culture while you develop and expand your career!

Senior Scientist, Formulation and Delivery Sciences

We seek a Senior Scientist skilled in lipid nanoparticle formulation, targeted delivery, synthesis and characterization of conjugated targeting ligands, plasma protein corona analysis and control, RNA/LNP physicochemical characterization, and in vitro/in vivo performance assessment, with a focus on elucidating and overcoming mechanistic nanoparticle delivery hurdles. The successful candidate will work hands-on with receptor-targeted lipid nanoparticle screening, biochemical conjugation strategies, affinity and cellular uptake assays, and in vivo delivery studies. Reporting to the Director of Formulation and Delivery Sciences, this individual will help identify and validate receptor-ligand strategies, establish screening workflows, and optimize targeted lipid nanoparticle systems for extrahepatic delivery. The successful candidate is a highly collaborative, detail-oriented, and creative scientist who enjoys bench research, adheres to well-defined scientific direction and group goals, and is excited to join a strong multidisciplinary team at a leading nucleic acid therapeutics company.

RESPONSIBILITIES:

Design, produce, and characterize receptor-targeted lipid nanoparticle formulations for in vitro and preclinical in vivo studies.
Help identify and prioritize receptor-ligand pairs for targeted delivery applications based on biological rationale, feasibility, and experimental performance.
Develop and execute ligand conjugation workflows for lipid nanoparticles using biochemical and chemical conjugation approaches.
Establish and apply affinity, cellular uptake, and functional screening assays to evaluate targeted lipid nanoparticle constructs across ligand formats, densities, and formulations.
Generate and interpret data linking receptor binding, ligand density, cellular uptake, and in vivo delivery performance.
Partner with scientists across formulation, chemistry, biology, and analytical functions to refine targeted lipid nanoparticle design and advance company objectives.
When needed, assist other team projects with LNP production, in vivo testing, and downstream tissue collection and analysis.
Support routine in vivo studies and downstream tissue analysis, including coordination of sample collection and evaluation of distribution and activity readouts.
Thoroughly document results in notebooks and written reports, and present findings to cross-functional teams and at research meetings.
Contribute to publications, patent applications, and the continued development of Ionis targeted delivery capabilities.

REQUIREMENTS:

PhD in Biochemistry strongly preferred; Chemistry, Chemical Engineering, Biophysics, Biomedical Engineering, Bioengineering, Pharmaceutics, or a related field will also be considered.
Minimum of 2 years of relevant industry experience following completion of a PhD or postdoctoral training.
Demonstrated experience with lipid nanoparticles, RNA therapeutics, receptor-targeted delivery, ligand conjugation, or related nanoparticle systems.
Excellent bench laboratory skills with a strong interest in hands-on experimental work and day-to-day laboratory execution.
High attention to detail, strong experimental rigor, and consistent documentation habits.
Self-motivated, able to stay on track with assigned goals and scientific direction, values collaboration, and thrives as part of a close-knit, high-performing team.
Creative and thoughtful problem solver who is open to adopting AI-enabled tools to improve research efficiency.
Hands-on experience with biochemical, biophysical, and analytical methods used to characterize ligands, lipid nanoparticles, and targeted delivery performance.
Experience with cell-based uptake or activity assays and supporting in vivo studies for targeted delivery platforms is highly desirable.
Proven skills in experimental design, data interpretation, formal oral and written communication, and cross-functional collaboration.

Please visit our website, http://www.ionis.com for more information about Ionis and to apply for this position; reference requisition # IONIS004054

Ionis offers an excellent benefits package! Follow this link for more details: Ionis Benefits

Full Benefits Link: https://ionis.com/careers#:~:text=Highly%20competitive%20benefits

The pay scale for this position is $113,156 - $149,750.00

NO PHONE CALLS PLEASE. PRINCIPALS ONLY.

Ionis Pharmaceuticals, Inc. and all its subsidiaries are proud to be EEO employers.

Candidater

[Autre] Assistant Professor in Structural Geology and Geomechanics at the Stanford Doerr School of Sustainab à Stanford University, Doerr School of Sustainability, Department of Earth & Planetary Sciences

Tue, 16 Jun 2026 17:53:09 +0200

The Department of Earth and Planetary Sciences (https://epsci.stanford.edu) at Stanford University and the Stanford Doerr School of Sustainability invite applications for a tenure-track Assistant Professor in the geology and mechanics of rocks and deformation of the Earth's crust. We seek candidates whose research addresses how rocks deform, fracture, flow, and interact with fluids in the upper crust, using field observation as a foundation and quantitative methods, including experimental, numerical, or analytical, to understand the underlying processes.

The department has longstanding strengths in structural geology, geomechanics, and tectonics, and seeks to hire in these areas broadly defined. We welcome applications from candidates working in regional tectonic and structural analysis, structural petrology and metamorphic systems, fault zone mechanics and rock deformation, reservoir and subsurface geomechanics, experimental rock physics and deformation, coupled thermo-hydro-mechanical systems, and the mechanics of magmatic-hydrothermal and mineral resources. Candidates working at the intersection of these traditions, for example, connecting regional structural geology to subsurface fluid systems, or applying geomechanical methods to active tectonic problems, are encouraged to apply.

As a unit within the Doerr School of Sustainability, the Department of Earth and Planetary Sciences is interested in candidates whose research connects to societally relevant problems, including but not limited to earthquake hazards, subsurface energy systems such as geothermal energy and geological carbon storage, critical minerals, and the mechanical integrity of engineered subsurface systems. We also welcome candidates in more fundamental aspects of structural geology and crustal deformation whose work contributes to these areas through basic scientific insight. Candidates conducting field-based studies and capable of teaching field geology are of interest.

The successful candidate will teach courses in structural geology, tectonics, or related areas at undergraduate and graduate levels, advise students, and participate actively in the department and school communities.

Application materials need to be submitted online at this link: https://secure.dc4.pageuppeople.com/apply/1054/gateway/Default.aspx?c=apply&sJobIDs=494972&SourceTypeID=796&sLanguage=en-us. The committee will begin reviewing applications on September 15, 2026. Later applications may be considered at the discretion of the search committee.

Applications must include:

Cover letter
Curriculum vitae
Contact information for three reference letter writers
Research statement (maximum 2 pages)
Teaching statement (maximum 1 page)

The Earth and Planetary Sciences Department, Doerr School of Sustainability, and Stanford University value faculty who will help foster an open and respectful academic environment for colleagues, students, and staff with a wide range of backgrounds, and perspectives. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these values.

Stanford is an equal employment opportunity and affirmative action employer. All
qualified applicants will receive consideration for employment without regard to race,
color, religion, sex, sexual orientation, gender identity, national origin, disability,
protected veteran status, or any other characteristic protected by law. Stanford
welcomes applications from all who would bring additional dimensions to the
University’s research, teaching and clinical missions.

Consistent with its obligations under the law, the University will provide reasonable
accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact
disability.access@stanford.edu.

The expected base pay range for this position is $143,500 - $180,000. Stanford University has provided a base pay range representing its good faith estimate of what the university reasonably expects to pay for the position upon hire. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including years since terminal degree, training, and field or discipline; departmental budget availability; internal equity; and external market pay for comparable jobs.

For general questions regarding this position, please contact David Havasy at dhavasy@stanford.edu.

Candidater

[Autre] O’Donnell Eminent Endowed Chair in Energy à SMU Dept of Earth Sciences

Tue, 09 Jun 2026 17:53:10 +0200

Position No. 00006050. Southern Methodist University invites applications to the inaugural O’Donnell eminent endowed chair and professorship in Energy. The position is a key component of a new $50M O’Donnell Energy Initiative at SMU. The candidate would hold a leadership position across programs spanning Dedman College of Humanities and Sciences, the Lyle School of Engineering, and the Cox School of Business at the rank of tenured, full professor. This appointment is focused on establishing SMU as a global innovator in energy solutions. The Chair will work to facilitate world-class research addressing energy challenges with the goal of forging new and innovative avenues of investigation across SMU. The Chair will also provide direction on undergraduate and graduate degree programs, with initial focus on an interdisciplinary and cross-school BS honors program on Energy Science, Innovation and Enterprise. The candidate is expected to develop a research and teaching portfolio focused on energy with emphasis on petroleum systems. The ideal candidate will be able to build partnerships with industry, government, and national laboratories.

The successful candidate is expected to join the dynamic Roy M. Huffington Department of Earth Sciences, whose internationally recognized faculty conducts collaborative, societally relevant research in energy, environmental systems, and earth hazards that links to complementary strengths within the university. The Department core facilities include Stable Isotope and X-ray Analytical laboratories, Geophysical and Remote Sensing facilities and instrumentation, and the Shuler Museum of Paleontology. SMU interdisciplinary expertise in energy systems is further enabled through state-of-the-art High Performance Computing facilities; the O’Donnell Data Science Institute; the Maguire Energy Institute; cross-school research excellence in earth hazards and national security, subsurface energy and law, the mathematics of inversion, imaging and machine learning, advanced energy storage, decarbonization and monitoring, and subsurface fluid and heat transport systems. Joint appointments across other departments or schools would be welcomed.

The successful applicant will have a demonstrated ability to maintain an outstanding, internationally recognized, externally funded research program; to teach, lead, and collaborate effectively with a diverse student body of graduates and undergraduates; and to supervise professional staff and faculty. All faculty are expected to fully participate in the educational mission of the university. The position will start January 2, 2027. Applications received by September 15, 2026, will receive full consideration, but applications will be reviewed as received and continue to be accepted until the position is filled. Applications should include a cover letter that discusses leadership experience in energy systems with an emphasis on petroleum, CV, statements on research and teaching, and contact information for three letters of recommendation. Please submit application materials via Interfolio at: https://apply.interfolio.com/187165

Candidates must have the following required qualifications:

A PhD in the geosciences or closely related field
A research record commensurate with an appointment as a tenured full professor, with more than six years post PhD experience
Demonstrated ability to establish an internationally recognized, externally funded research program
A commitment to excellence in teaching at the undergraduate and graduate levels.

The committee will notify applicants of its employment decisions after the position is filled. Hiring is contingent upon the satisfactory completion of a background check. For more information, please visit the Roy M. Huffington Department of Earth Sciences or contact Heather DeShon, Professor and Department Chair in Earth Sciences, at geology@smu.edu.

SMU is a nationally ranked, private, non-sectarian research institution located in one of the nation's fastest growing metropolitan areas. Teachers and researchers are part of an inclusive and intellectually vibrant community of internationally recognized scholars across the humanities, social sciences, natural sciences, engineering, and business. SMU seeks colleagues who eagerly embrace SMU's central values of intellectual diversity, cultural intelligence and academic freedom. SMU offers excellent benefits including full same-sex domestic partner benefits. The City of Dallas is one of the nation's most cosmopolitan commercial and cultural centers, and the Dallas-Fort Worth metroplex is the fourth largest in the US. Dallas' quality of life is exceptional, with a relatively low cost of living and a variety of housing options. Neighborhoods within easy commute of campus offer tree-lined streets and walkability with easy access to the city’s dynamic arts, music, sports and dining scenes that combine to make Dallas an extremely livable city. Explore SMU at http://www.smu.edu.

SMU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran status, sexual orientation, or gender identity and expression.

Candidater

[Autre] Center for Education, Innovation, and Sustainable Development (CEISD) at ShanghaiTech University à ShanghaiTech University

Tue, 09 Jun 2026 17:53:10 +0200

1. About us

The Center for Education, Innovation, and Sustainable Development (CEISD) at ShanghaiTech University is a research-oriented, global-perspective think tank established by the university. We are dedicated to addressing global challenges through innovation in the AI era, advancing the evolution of learning through education, and exploring optimal frameworks and policy portfolios for sustainable development and global governance.

Focusing on the AI interdisciplinary research with different domains of science, economy and society, with a methodology synergizing "data-driven" approaches with "first principles", CEISD aims to provide solutions, policy frameworks and development strategies that are grounded in rigorous academic research and drive transformation with policy impact for a better future.

2. Open Positions

Research Track:

• Research Fellow (1 Position)

• Associate Research Fellow (1 Position)

• AI Scientist / Data Scientist (1 Position)

• Young Scientist / Young Research Fellow (4 Positions)

• Visiting Fellow / Visiting Scientist (5 Positions)

Technical Track:

• Senior Data Engineer / Engineer (1 Position)

• Senior AI Application Engineer / Engineer (1 Position)

Functional Track:

• Senior Manager / Manager, Project Management & Administration (1 Position)

(1) Research Fellow / Associate Research Fellow

1. Key Responsibilities:

• Focus on major global challenges and frontier issues in the fields of education, innovation, and sustainable development, conducting original interdisciplinary research.

• Independently undertake and lead key research projects, managing the full lifecycle from problem definition and research design to result analysis and policy recommendations.

• Produce internationally influential research outcomes, including but not limited to in-depth analysis reports, policy briefs, and papers published in top-tier academic journals.

• Participate in building cooperation networks with top global research institutions, international organizations, and academic communities, and engage in significant international academic dialogues.

2. Requirements:

• Ph.D. in a relevant field (AI, Computer Science, Data Science, Mathematics, Physical Sciences, Life Sciences, Earth Sciences, Economics & Finance, Social Sciences & Humanities, etc.) from an internationally recognized university or research institution, with extensive independent research experience.

• Established excellence in the field with a proven track record of highly recognized representative works (e.g., highly cited papers, significant monographs, key policy reports).

• Possess the imagination and passion to define problems; dedicated to producing influential original results and capable of providing insights into global issues and designing frontier research pathways.

• Demonstrate a broad international perspective, interdisciplinary vision, and successful experience in leading complex research projects.

• Fluency in both Chinese and English (written and spoken).

• Deeply committed to the long-term development of humanity and driven by a desire to contribute wisdom to this cause.

(2) AI Scientist / Data Scientist

1. Key Responsibilities:

• As an expert in AI and Data Science, apply frontier algorithms (Reinforcement Learning, Deep Learning, Causal Inference, Generative AI, etc.) to model and analyze social, economic, and scientific problems to derive core insights.

• Develop and deploy innovative computational frameworks and analysis pipelines tailored to the think tank's agenda; process large-scale, multi-modal data to extract decision-critical information.

• Responsible for producing high-impact research outputs; authoring high-level papers, reports, or data visualizations, and articulating core findings to non-specialist audiences.

• Collaborate closely with scholars in economics, sociology, and sciences to explore the optimal synthesis of technical possibilities and domain insights.

2. Requirements:

• Ph.D. in AI, Computer Science, Statistics, Mathematics, or related computational engineering fields from an internationally recognized institution.

• A track record of influential works recognized by international peers, including publications in top AI conferences or journals.

• Exceptional ability in problem abstraction, capable of deconstructing complex real-world issues and designing rigorous AI-driven analytical pathways.

• Excellence in programming and software engineering; proficient in Python and mainstream deep learning frameworks; extensive experience with large-scale datasets and deep research capabilities based on Large Language Models (LLMs).

• Strong passion and sense of mission for applying AI and data science to resolve major human challenges.

• Deeply committed to the long-term development of humanity and driven by a desire to contribute wisdom to this cause.

(3) Young Scientist / Young Research Fellow

1. Key Responsibilities:

• Conduct highly original interdisciplinary research focusing on major global challenges in education, innovation, and sustainable development.

• Apply data-driven research paradigms and computational social/natural science methodologies to uncover deep mechanisms behind complex problems.

• Collaborate closely with AI scientists and domain scholars to design and execute research projects, integrating domain insights with frontier technologies.

• As a core contributor, author internationally influential research works, including analysis reports, policy white papers, and publications in top-tier journals.

2. Requirements:

• Ph.D. (obtained or impending) in a relevant field from an internationally recognized institution.

• Demonstrated academic potential in core research areas with high-quality publications in renowned journals or conferences.

• Solid quantitative analysis skills and computational thinking, with practical experience in applying computational methods to key scientific problems.

• Openness to cross-disciplinary collaboration and effective communication skills across different technical backgrounds.

• Dedicated to producing original results with both theoretical depth and real-world impact.

• Fluency in both Chinese and English.

• Deeply committed to the long-term development of humanity and driven by a desire to contribute wisdom to this cause.

(4) Senior Data Engineer / Engineer

1. Key Responsibilities:

• Collaborate with researchers to architect data analysis frameworks and technical pathways for complex projects.

• Independently manage data tasks, including processing large-scale unstructured data, causal inference, and statistical/machine learning analysis.

• Lead the end-to-end programming implementation of core algorithms and models, ensuring the accuracy and robustness of analytical results.

• Explore and integrate new data sources and analytical methods to elevate the institution's overall research capabilities.

2. Requirements:

• Master’s degree or above in Computer Science, Data Science, or related fields.

• Expert-level proficiency in data analysis and Python programming; deep, systematic understanding of statistics and machine learning.

• Proven success in leading complex, end-to-end data analysis projects; ability to translate ambiguous research questions into clear technical solutions.

• Mastery of SQL and experience handling diverse databases and large-scale datasets.

• Familiarity with LLM-based scientific data processing.

• Excellent communication skills, acting as a bridge between domain research and data science.

• Deeply committed to the long-term development of humanity and driven by a desire to contribute wisdom to this cause.

(5) Senior AI Application Engineer / Engineer

1. Key Responsibilities:

• Lead AI analysis modules within research projects. Utilize Generative AI and computational modeling for data processing, insight extraction, and scenario simulation; contribute to high-level reports.

• Act as the strategic bridge connecting frontier AI technology with research; lead the prototyping and engineering of AI research workflows; design AI-empowered research solutions.

• Continuously monitor emerging AI tools and platforms, rapidly assessing their potential for think tank research and converting them into actionable methods.

2. Requirements:

• Master’s degree or above. Interdisciplinary backgrounds (Data Science, Digital Humanities) or strong AI application capabilities in Economics/Social Sciences are preferred.

• Strong global understanding and logical critical thinking; ability to present complex AI results as insightful research reports.

• Deep experience with Large Language Model applications; proficiency in advanced Prompt Engineering and Retrieval-Augmented Generation (RAG).

• Strong hands-on ability and rapid learning curve.

• Deeply committed to the long-term development of humanity and driven by a desire to contribute wisdom to this cause.

(6) Senior Manager / Manager, Project Management & Administration

1. Key Responsibilities:

• Oversee the full lifecycle of core research projects, from initiation and planning to resource coordination and delivery.

• Ensure projects align with the Center’s strategic goals; coordinate cross-functional teams of researchers and engineers.

• Establish and maintain global cooperation networks to support international projects.

• Develop efficient project management processes; identify and mitigate risks to ensure timely, high-quality completion.

• Manage or participate in the promotion and dissemination of project outcomes.

2. Requirements:

• Bachelor’s degree or above with 3+ years of complex project management experience in academic institutions, think tanks, or the high-tech sector.

• Profound understanding of academic or think tank operations; ability to support interdisciplinary teams effectively.

• Excellent organizational and communication capabilities; adept at prioritization in a fast-paced environment.

• Strategic thinking, high responsibility, and a passion for supporting frontier research.

• Superior written and verbal communication skills.

• Deeply committed to the long-term development of humanity and driven by a desire to contribute wisdom to this cause.

(7) Visiting Fellow / Visiting Scientist

1. Key Responsibilities:

• Lead or contribute significantly to frontier research projects in education, innovation, and sustainable development.

• Independently or collaboratively manage key project modules, from design to output production.

• Produce internationally influential research outcomes, including policy reports and top-tier journal papers.

• Participate in building global cooperation networks and engage in high-level international dialogue.

2. Requirements:

• Ph.D. in a relevant field from an internationally recognized institution.

• Outstanding academic record with high-quality representative works as a lead author (e.g., major research reports, key policy reports, high-level academic monographs, etc.).

• Imagination to define problems and dedication to producing original, influential results.

• Broad international perspective and successful experience in executing complex research projects.

• Fluency in Chinese and English.

• Deeply committed to the long-term development of humanity and driven by a desire to contribute wisdom to this cause.

3. Application Procedure

• Please send your Curriculum Vitae (CV) and representative works to:

ceisd@shanghaitech.edu.cn

• Email Subject: Please indicate "Position Applied - Name"

Candidater

[Autre] Deputy Editor, China /中国区副主编 à American Association for the Advancement of Science

Fri, 05 Jun 2026 17:53:09 +0200

Deputy Editor, China /中国区副主编

Journal/期刊: Science

Career Level / 职级: Level 6 / 6级

Department / 部门: Science Editorial / 《科学》编辑部

Reports To / 汇报对象: Editor, Research and Executive Editor / 研究版块主编/执行主编

Position Summary / 岗位职责概述

Science is a premier publication for the dissemination of scientific knowledge worldwide. The Deputy Editor, China manages the editorial staff and budget and is a member of the leadership team for the Beijing, PRC office. In addition to management responsibilities, the Deputy Editor fulfills the role of Research manuscript editor, identifying and selecting the top 5-10% of research papers within their sector that will significantly advance scientific understanding.

《科学》杂志是全球科学知识传播的顶级出版物。中国区副主编负责管理编辑团队与部门预算。除行政管理职责外，该岗位还兼任科研稿件编辑，负责筛选所属领域排名前 5%–10% 的顶尖研究论文，甄选能够显著推动科学认知发展的高质量成果。

Key Responsibilities | 主要工作职责

Serve as Editorial leader in China; supervise all China-based Editorial staff.

担任中国区编辑负责人，管理所有驻华编辑人员。

Meet regularly with other Beijing managers and promote teamwork with other heads of department in the Beijing office.

定期与北京办公室其他负责人沟通协作，推动跨部门团队协同工作。

Manage the evaluation, review, and editing of submitted manuscripts in materials science, specifically focusing on hard functional materials such as metals, ceramics, composites, and piezo/ferroelectrics.

负责材料科学领域投稿的评估、评审和编辑工作，需重点关注硬功能材料（如金属、陶瓷、复合材料、压电/铁电材料）。

Decide whether to review manuscripts, select reviewers, and provide recommendations for manuscript revision.

决定是否对稿件进行评审、选择审稿人，并对稿件修改提出建议。

Ensure selected papers undergo rigorous peer-review and work with authors to ensure clarity and succinctness.

确保入选论文经过严格的同行评审，并与作者合作，确保内容表达清晰、简练。

Commission, review, and edit timely review articles and write research summaries for publication.

委托、评审并编辑具有时效性的综述文章，并撰写研究摘要以供发表。

Propose solutions to problems that arise with manuscripts either before or after publication.

针对出版前后出现的稿件问题提出解决方案。

Represent Science and its Beijing office at national and international scientific meetings to recruit the best papers.

代表《科学》杂志及其北京办公室参加国内和国际科学会议，邀约优秀稿件。

Establish and grow a comprehensive network of contacts within the research sector.

在研究领域内建立并拓展全方位的人脉网络。

Communicate with members of the Board of Reviewing Editors and assist in recruiting new members.

与审稿编辑委员会成员沟通，并协助招募新成员。

Write summaries of research results for publication.

撰写研究成果摘要以供发表。

Communicate with and provide suggestions to the Insights team.

与Insights团队保持沟通并提供建议。

Collaborate with production, visuals, and press teams to prepare manuscripts for publication.

与生产、视觉和新闻宣传团队合作，准备待发表的稿件。

Participate in joint projects with publishing, such as judging prizes and/or planning meetings.

参与与出版部门的联合项目，例如担任奖项评委和/或策划会议。

Requirements / 任职资格

Qualifications: PhD in materials science or similar and several years of post-doctoral research experience.

资历要求：材料科学博士学位及多年博士后研究经验。

Proven track record of publishing high-quality research papers in scientific journals.

在科学期刊上发表过高质量研究论文并提供相关证明。

Knowledge of the field that will allow them to evaluate manuscripts and to develop a strong network of expert contacts.

具备扎实的专业领域知识，能够独立评审稿件，并建立稳固的专家人脉资源网络。

Exceptional written communication and diplomatic skills in order to communicate with authors and reviewers in evaluating, editing and modifying manuscripts, and to handle difficult decisions and rejected authors with sensitivity.

具备出色的书面沟通能力与人际沟通协调能力，可与作者、审稿人高效对接，开展稿件评审、编辑及修改工作；同时能够稳妥处理各项决策事宜，人性化做好退稿作者的沟通工作。

Ability to work constructively and effectively as a member of a tight-knit team.

能够在紧密协作的团队中开展建设性且高效的工作。

Sensitivity to authors from different cultures and backgrounds.

对不同文化背景作者保有敏锐度和同理心。

Persuasion and negotiation skills to attract top authors.

具备良好的说服与谈判能力，能够吸引顶尖作者投稿。

Please send cover letter and full CV to ScienceEditorJobs@aaas.org with “Deputy Editor, China” in the subject line.

Candidater

[Autre] Research Software Engineer à Forschungszentrum Jülich GmbH

Thu, 04 Jun 2026 17:53:09 +0200

Shaping change: this is what drives us at Forschungszentrum Jülich. As a member of the Helmholtz Association with some 7,600 employees, we conduct interdisciplinary research into a digitalized society, a climate-friendly energy system, and a sustainable economy. We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. We combine this with expertise in high‑performance computing and artificial intelligence using unique scientific infrastructures.

The prolonged storage of spent nuclear fuel, particularly high burn up, requires specific knowledge of chemical, structural, radiological and mechanical processes that occur within the fuel assemblies which may impact their stability during storage. In addition to this, reliably predicting the medium-longer term performance is essential for safe storage and associated licensing.

As part of the Ministry for Environment, Climate Action, Nature Conservation and Nuclear Safety (BMUKN) project “Atlas”, the Institute of Fusion Energy and Nuclear Waste Management (IFN) / Nuclear Waste Management (IFN-2) is offering a Postdoc position for a motivated individual with a PhD and background in computational materials science to investigate the chemical and mechanical effects arising from delayed fission gas release in high burn-up spent nuclear fuel by applying SCIANTIX modelling and coupling this against fundamental and engineering-scale nuclear codes such as BISON and TRANSURANUS. The position will run for 3 years and is contingent upon project approval.

Join our team Postdoc – Nuclear Fuel Performance and Fission Gas Modelling

Your Job:

Apply and develop state-of-the-art computational investigative methods, specifically utilizing the SCIANTIX code, to simulate the behavior of high burn-up spent nuclear fuel during extended interim storage
Predictive Analysis: Model and evaluate physical-chemical phenomena—such as diffusion, resolution, and bubble evolution, to deliver enhanced predictions of fission gas release (FGR) and structural engineering performance in spent fuel
Bridge the gap between theory and experiment by integrating microstructural and experimental data into computational models to validate predictive capabilities
Assist in coupling mesoscale fission gas behavior models with macroscopic fuel performance codes such as BISON and TRANSURANUS to assess the long-term integrity of storage systems
Support and mentor PhD and Masters level students in implementing modelling codes and analysis
Analyze, document, and present data at international conferences and publish findings in high-impact, peer-reviewed scientific journals

Your Profile:

Master's degree with subsequent PhD degree in Nuclear Engineering, Computational Materials Science, Physics, Chemistry, or a closely related discipline
Proven experience in mesoscale or engineering-scale modeling of nuclear fuel materials. Familiarity with physics-based rate theory, mechanistic modeling, or fuel performance codes such as SCIANTIX particularly but also TRANSURANUS or BISON is highly desirable
Strong foundational knowledge in fission gas behavior (including diffusion, bubble nucleation, resolution, and microstructural evolution) and the mechanics of high burn-up spent nuclear fuel under extended interim storage conditions
Solid scientific programming and data analysis skills (e. g., Python, C++ or Fortran) for script development, code execution, and parsing complex data sets
Ability to independently design, execute, and troubleshoot your research output while aligning results with the overarching goals of the Atlas project
Assist in the co-supervision and mentoring of PhD candidates, master’s students, or technical staff working within the research group whilst performing an active leadership role in the Atlas project
Excellent English communication and scientific writing skills (at least B2 level according to the CEFR), with a demonstrated track record of publishing in peer-reviewed journals

Our Benefits for You:

We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities:

Research Environment: Working within the state-of-the-art nuclear laboratories of Forschungszentrum Juelich, Institute of Fusion Energy and Nuclear Waste Management (IFN) / Nuclear Waste Management (IFN-2)
Research infrastructure: Access to state-of-the-art computational infrastructure
Mentoring & Expertise: Mentoring and training by global experts in nuclear fuel materials chemistry and condensed matter physics
Knowledge & further training: Support for further career growth, with the flexibility to develop your own independent scientific ideas within the project's scope
International networking: Confirmed funded opportunities to attend international conferences and training events
Vacation: You will receive 30 days of vacation plus additional days off (e. g., between Christmas and New Year's)
Health & well-being: Your health is important to us. You can look forward to a comprehensive occupational health management program with a wide range of offerings - e. g., a beach volleyball court, running groups, yoga classes, and much more. In addition, our company medical service and an experienced social counseling team are available to assist you on site
Support for international employees: Our International Advisory Service makes it easier for international employees to get started
Career Center: You will receive explicit support with regard to your career development opportunities
Successful start: It is important to us that you quickly settle into the team and are given structured training for your tasks. We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide
Fair remuneration: Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade EG 13 of the TVöD-Bund (Collective Agreement for the Public Service). All information on the TVöD-Bund collective agreement can be found on the BMI website. The monthly salaries in euros can be found on page 69 ff. of the PDF download
Additional benefits: Benefit from attractive additional services such as a company pension scheme with employer contribution. In addition to the basic salary, there is an additional year-end bonus under the collective pay agreement amounting to 75 % of a monthly salary, as well as capital-forming benefits
Fixed-term: 3 Year position contingent upon project approval

In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits

We welcome applications from people with diverse backgrounds, e. g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey

We look forward to receiving your online application.

The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.
APPLY NOW

If your questions have not yet been answered via our FAQs, please send us a message via our contact form.

Please note that for technical reasons we cannot accept applications by e-mail.

www.fz-juelich.de

Candidater

[Contrat doctoral] Contrôle dynamique et la modélisation avancée de biofiltres pour l’oxydation du méthane à Université de Sherbrooke

Fri, 29 May 2026 17:53:06 +0200

Offre de Poste : Doctorat en Génie Chimique

Titre du projet : Contrôle dynamique et la modélisation avancée de biofiltres pour l’oxydation du méthane

Description du projet : Le projet vise à développer des modèles dynamiques orientés contrôle et un jumeau numérique (digital twin) de systèmes biologiques de réduction des émissions de méthane, afin de contribuer concrètement aux objectifs climatiques du Canada et du Québec.

Profil recherché :
La personne candidate idéal a de l'expérience dans le domaine du génie de procédé et génie chimique. Elle est capable de résoudre des problèmes de bilan de masse et énergie (dynamiques ou en régime permanent). La personne candidate idéale connait comment utiliser Python à un niveau avancé.

Candidater

[Contrat doctoral] Elaboration and study of physical properties of graphenic carbon nitrides nanostructures à ICMMO / Université Paris-Saclay et IEMN / Université de Lille

Fri, 29 May 2026 17:53:06 +0200

The discovery of novel 2D materials with unique electronic band structures has generated significant interest in understanding how modifications in their morphology and elemental composition can influence their physical properties. A major objective in this field has been to develop alternatives to conventional top-down fabrication methods of tailored graphene-based structures, which originally exhibit semimetallic electronic properties. In this context, bottom-up approaches based on on-surface reactions of molecular precursors (e.g., via Ullmann coupling and cyclodehydrogenation) have proven to be highly efficient for the growth of nanostructured one- and two-dimensional graphenic architectures on metal surfaces with tunable electronic properties, ranging from semimetallic to semiconducting behavior. By the same time, advances in solution-phase molecular chemistry also made possible the synthesis of extended 2D conjugated networks.

Building on these advances, the proposed PhD project will focus on the synthesis of suitable molecular precursors, followed by the growth of porous 2D carbon nitride (CxNy) layers using two complementary approaches: traditional wet chemistry (i.e., the Fittig reaction) and UHV-based on-surface synthesis as described above. Particular emphasis will be placed on investigating the atomic structure, chemical composition, electronic and vibrational properties of the resulting CN-based materials, grown or drop-casted on different substrates.

Profil recherché :
The candidate should have a strong interest in experimental work. Knowledge of organic chemistry, ultra-high vacuum (UHV) techniques and Scanning Probe Microscopy (SPM) would be clear advantages for this project. One part of the study will be conducted in ultra-high vacuum (UHV) condition: Substrate's preparation and molecular precursors deposition on these surfaces by molecular beam epitaxy; Elaboration of graphene-based nanostructures via on-surface reaction of the precursors; Exploring their structures at atomic scale, chemical composition and electronic properties with scanning tunneling microscopy (STM), X-ray photoemission spectroscopy (XPS), scanning tunneling spectroscopy (STS). The candidate will also be responsible for studies at ambient conditions: Synthesis of molecular precursors and their use for the growth of 2D CN-based layers, along with the characterization of both precursor and resulting materials using conventional techniques; Study of their vibrational and optical properties, along with evaluating their suitability for use as active layers in sensors and transistors. The candidate should be able to work both independently and in a collaborative environment (i.e. interact with physicists, chemists and theoreticians). Good communication skills and knowledge of English are required since the candidate will participate in the dissemination of his/her research to the international community: publications in scientific journals, conferences, general public communication, etc.

Candidater

[Contrat doctoral] THESE - IMPACT DES NUITS CHAUDES SUR LE SOMMEIL ET LA SANTE F/H à CSTB Grenoble

Fri, 29 May 2026 17:53:06 +0200

La Direction Energie Environnement recherche un(e) doctorant(e) pour une durée de 3 ans dans le cadre du sujet de recherche : Impact des nuits chaudes sur le sommeil et la santé : interactions entre environnement bâti, thermophysiologie du sommeil et stratégies adaptatives des occupants. Le poste est basé à Grenoble.

Dans un contexte de changement climatique, les vagues de chaleur, de plus en plus fréquentes et intenses, dégradent le confort thermique intérieur et la qualité du sommeil. En 2025, le gouvernement a publié le Plan national d’adaptation au changement climatique (PNACC) ainsi qu’une feuille de route interministérielle sur le sommeil. Pourtant, l’impact des fortes chaleurs sur le sommeil reste peu étudié.

Cette thèse s’inscrit au CSTB, en partenariat avec l’INSERM (neurosciences du sommeil) et une chercheuse CNRS en thermophysiologie. Elle vise à identifier, mesurer et modéliser les liens entre microclimat nocturne dans des logements non climatisés et dégradation objectivable du sommeil, en conditions réelles. Elle adopte une approche intégrée croisant microclimat, thermophysiologie, neurosciences du sommeil et comportements adaptatifs (fenêtres, ventilateurs).

Le projet de thèse consiste à développer un protocole de mesure in situ et mener une campagne expérimentale afin de constituer une base de données associant données sur le microclimat intérieur à la chambre, la thermophysiologie du corps humain, le sommeil des occupants et leurs actions adaptatives associées. Cette base de données permettra de construire un modèle prédictif dynamique du sommeil en fonction des conditions intérieures et des comportements des occupants, notamment en situation de surchauffe nocturne.

Ces travaux aboutiront à la création d'un indicateur opérationnel de dégradation du sommeil associés à des valeurs repères (température, humidité, vitesse d’air, bruit, luminosité), valorisables auprès des acteurs du bâtiment à travers des labels ou la future règlementation environnementale.

L’originalité repose sur l’interdisciplinarité (thermique du bâtiment, thermophysiologie, neurosciences, comportements). Les travaux s’inscrivent dans le projet international Annex95 de l’Agence Internationale de l’Énergie.

Vos principales missions seront les suivantes :

Réaliser un état de l’art sur les méthodes de mesure physiologiques (EEG, actimétrie, rythme circadien, etc.) du sommeil et les modèles de sommeil existants
Identifier les méthodes de mesure pertinentes et leurs limites selon les contextes applicatifs et proposer un protocole de mesure et un plan d’expérience
Étudier comment les différentes briques de modélisation (modèles physiologiques, empiriques, data-driven…) peuvent s’articuler entre elles pour construire un modèle cohérent

Profil recherché :
Vous êtes titulaire d'un diplôme de niveau Master ou ingénieur (thermique du bâtiment, data science, bio-ingénierie, neurosciences, modélisation, mathématiques appliquées, statistiques, …). Vous avez une appétence pour le travail expérimental, l’analyse statistique et la modélisation numérique. Vous disposez d'une capacité d'analyse et de synthèse. Vous faites preuve de rigueur, d'autonomie, de curiosité. Vous disposez d'une bonne communication écrite et orale. Vous êtes à l'aise en anglais (écrit, lu, parlé).

Candidater

[Contrat doctoral] PhD 2026: MXènes fonctionnalisés comme additifs de lubrification avancés à Centre de Mise en Forme des Matériaux (CEMEF)

Fri, 29 May 2026 17:53:06 +0200

Contexte général du projet de recherche :

Les pertes d’énergie liées aux frottements et à l’usure représentent aujourd’hui un enjeu industriel majeur, avec un impact direct sur l’efficacité énergétique et la durée de vie des contacts. Dans ce contexte, le développement de nouveaux additifs de lubrification haute performance constitue un défi scientifique et technologique important. Parmi les nanomatériaux émergents, les MXènes attirent un intérêt croissant grâce à leurs propriétés remarquables : structure lamellaire favorable au glissement, excellente stabilité chimique, forte résistance mécanique et grande capacité de fonctionnalisation. Ces caractéristiques font des MXènes des candidats prometteurs pour réduire les frottements et limiter l’usure dans les systèmes lubrifiés.

Cependant, plusieurs verrous scientifiques doivent encore être levés avant l’intégration des MXènes dans des formulations lubrifiantes performantes. Le premier défi concerne leur dispersion homogène et leur stabilité à long terme dans les huiles, conditions indispensables pour garantir des performances fiables. La compatibilité des MXènes avec les additifs conventionnels utilisés dans les formulations industrielles constitue également un enjeu important. Par ailleurs, le contrôle de la taille et de la morphologie des feuillets est essentiel afin d’assurer une alimentation efficace du contact tribologique et de favoriser la formation de tribofilms protecteurs. La maîtrise de la composition chimique des MXènes représente un autre paramètre clé pour optimiser leurs interactions avec les surfaces en contact. Cette thèse s’inscrit dans cette dynamique et vise à développer des MXènes comme additifs de lubrification haute performance.

Objectifs de la thèse

Durant cette thèse, le/la doctorant(e) combinera différentes approches expérimentales afin de mieux comprendre le comportement tribologique des MXènes utilisés comme additifs de lubrification. Les travaux porteront sur la synthèse et la fonctionnalisation de différentes familles de MXènes, ainsi que sur leur intégration dans des formulations lubrifiantes modèles. Le/la doctorant(e) développera des protocoles de dispersion et de fonctionnalisation chimique visant à améliorer la stabilité des MXènes dans les huiles et à optimiser leurs interactions avec les surfaces en contact.

Les formulations élaborées seront ensuite évaluées à l’aide d’essais tribologiques réalisés dans des conditions contrôlées afin d’étudier leur capacité à réduire les frottements et l’usure. Les mécanismes de lubrification seront analysés à travers une caractérisation approfondie des surfaces et des tribofilms formés pendant les essais. L’objectif sera d’identifier les mécanismes responsables des performances observées et d’établir les relations entre la structure et la chimie des MXènes, leur fonctionnalisation et leur comportement tribologique.

en savoir plus sur le sujet ici :

https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/05/These2CEMEF_IMRA_2026.pdf

Point fort du sujet :

Elle offre au doctorant l’opportunité de contribuer à un sujet à fort impact scientifique et industriel, à l’interface entre ingénierie des matériaux et tribologie, avec de réelles perspectives applicatives et une bonne visibilité académique.

La proximité des deux partenaires, tous deux situés à Sophia Antipolis, facilite les échanges, l’intégration et le travail collaboratif. Cette collaboration donne également accès à des compétences complémentaires et à des équipements expérimentaux de pointe (microscopie électronique, XRD, XPS, tribologie, etc.), offrant un environnement de recherche complet et particulièrement stimulant.

Profil recherché :
Nous recherchons un(e) candidat(e) diplômé(e) d’une école d’ingénieur et/ou titulaire d’un Master 2, avec de solides bases en science des matériaux et en chimie, ainsi qu’un réel intérêt pour le travail expérimental. Une première expérience en synthèse et fonctionnalisation de nanomatériaux constituera un atout important. Le/la candidat(e) devra faire preuve d’autonomie, de rigueur scientifique et de curiosité pour s’investir dans un sujet à l’interface entre matériaux, formulation et tribologie. Une bonne capacité d’analyse et de synthèse est attendue, ainsi qu’un intérêt pour l’innovation et la résolution de problèmes scientifiques. Des qualités d’adaptabilité, de créativité et de communication en anglais seront également essentielles pour évoluer dans un environnement de recherche collaboratif.

Candidater

[Contrat doctoral] Commandes coopératives de véhicules autonomes aériens et terrestres en présence de contraintes opérationnelles à Ecole Supérieure des Techniques Aéronautique et de la Construction Automobile (ESTACA)

Fri, 29 May 2026 17:53:06 +0200

Ce projet de thèse s’intéresse à la conception de lois de commande coopératives pour des groupes de véhicules autonomes aériens et terrestres devant atteindre un objectif commun, tel que le consensus, la synchronisation, le maintien de formation ou le rendez-vous. Ce sujet suscite un intérêt croissant en raison de ses nombreuses applications dans les domaines de la robotique mobile, des transports intelligents, de la surveillance, de l’inspection et, plus largement, des systèmes autonomes.

De manière générale, tout système de contrôle coopératif multi-agents comprend un ensemble d’informations collectées localement, un réseau de communication à bande passante limitée, un algorithme de décision et une capacité de calcul distribuée. L’objectif des systèmes coopératifs est d’assurer une coordination efficace entre les agents afin d’atteindre un comportement collectif souhaité, tout en respectant les contraintes imposées par les dynamiques des véhicules, leur environnement d’évolution et les exigences liées à la mission.

Le problème devient particulièrement complexe lorsque les véhicules sont soumis à des perturbations, à du bruit de mesure, à des incertitudes de modélisation, à des limitations de communication ou à des défaillances partielles. Dans le cas des véhicules autonomes aériens et terrestres, ces difficultés sont renforcées par la présence de contraintes opérationnelles, telles que les limitations de vitesse, d’accélération, d’énergie ou d’actionnement, les contraintes de sécurité, l’évitement d’obstacles, la prévention des collisions inter-agents, ainsi que les variations de l’environnement et des conditions de mission. Cette thèse s’inscrit dans une dynamique de collaboration entre ESTACA’Lab et le laboratoire MIS, en articulant développements théoriques, algorithmiques et validation expérimentale.

L’objectif principal de la thèse est de développer des stratégies de commande coopérative robustes et performantes pour des véhicules autonomes aériens et terrestres, en tenant compte explicitement des contraintes opérationnelles affectant leur fonctionnement.

Les résultats attendus portent en particulier sur :

Consensus et synchronisation : amener les agents à suivre un comportement collectif coordonné malgré les perturbations, les incertitudes et les limitations de communication.
Contrôle de formation : maintenir une structure géométrique précise entre plusieurs véhicules autonomes aériens et terrestres tout en assurant leur déplacement.
Robustesse et sécurité : garantir le fonctionnement du système malgré les perturbations, les incertitudes, les défauts de communication et les contraintes d’évitement d’obstacles et de collisions.
Prise en compte des contraintes opérationnelles : intégrer explicitement dans la synthèse des lois de commande les limitations physiques, énergétiques, informationnelles et missionnelles propres aux véhicules autonomes.
Implémentation temps réel et validation expérimentale : développer l’implémentation embarquée des stratégies de commande proposées et évaluer leurs performances sur des plateformes expérimentales, en prenant en compte les contraintes de calcul, de communication, d’acquisition et d’intégration temps réel.

Profil recherché :
Le candidat ou la candidate recherché(e) devra être titulaire d’un diplôme d’ingénieur ou d’un Master 2 en automatique, robotique, systèmes embarqués, mécatronique, mathématiques appliquées, électronique ou domaine voisin. De solides bases en modélisation, stabilité et commande des systèmes dynamiques ; Un intérêt marqué pour les véhicules autonomes, les systèmes multi-agents, la commande coopérative et les approches robustes ; Une bonne maîtrise d’outils scientifiques tels que MATLAB/Simulink, Python ou environnements équivalents ; Des connaissances en commande non linéaire, estimation d’état, commande robuste, implémentation temps réel ou théorie des graphes seront appréciées ; Autonomie, rigueur scientifique et goût pour le travail collaboratif interdisciplinaire.

Candidater

[Contrat doctoral] PhD 2026: Élaboration d’une nouvelle génération de composites métal–MXenes à hautes performances mécaniques et tribologiques à Centre de Mise en Forme des Matériaux (CEMEF)

Fri, 29 May 2026 17:53:06 +0200

Contexte général du projet de recherche :

Depuis une quinzaine d’années, les matériaux bidimensionnels ont changé la conception des nouveaux matériaux. Initialement dominé par le graphène, le domaine s’est élargi avec l’apparition des MXenes en 2011, une famille de carbures et nitrures métalliques lamellaires aujourd’hui très étudiée.

Les MXenes associent des propriétés rarement réunies : excellente conductivité électrique, bonne rigidité, stabilité thermique élevée et chimie de surface riche et modulable.

Objectifs de la thèse

Cette thèse vise à concevoir des composites métalliques renforcés par des phases MAX (Ti₃AlC₂) et des MXènes (Ti₃C₂Tz, où Tz désigne les terminaisons –F, –Cl, –OH, etc.), en utilisant le procédé SPS (Spark Plasma Sintering), qui associe compaction en matrice fermée et chauffage par effet Joule afin d’obtenir des performances tribologiques et mécaniques améliorées.

Une première phase consistera en une étude bibliographique approfondie pour analyser les travaux existants sur les composites à base de phases MAX et MXenes, identifier les verrous scientifiques et technologiques, et définir les orientations expérimentales pertinentes.

La partie expérimentale du projet cherchera à établir des liens entre la morphologie, la taille et la proportion des phases renforçantes, leur dispersion dans la matrice et le comportement global du matériau, afin d’identifier le meilleur compromis entre résistance mécanique et performance tribologique. La démarche reposera sur une caractérisation fine de la microstructure des composites, ainsi que sur l’évaluation de leurs propriétés mécaniques (indentation, compression) et tribologiques dans différentes conditions opératoires.

Une attention particulière sera portée à l’analyse des mécanismes d’usure et de déformation pour établir des relations structure–propriétés–performances et optimiser ces composites pour des applications industrielles.

en savoir plus sur le sujet ici : these-1-CEMEF-IMRA_2026.pdf

Point fort du sujet :

Cette thèse s’inscrit dans une chaire conjointe entre Mines Paris et IMRA Europe, regroupant quatre projets doctoraux sur cinq ans, visant à explorer le potentiel des MXenes dans des domaines variés tels que les transports, la robotique ou le biomédical. Elle offre au doctorant l’opportunité de contribuer à un sujet à fort impact scientifique et industriel, à l’interface entre ingénierie des matériaux et tribologie, avec de réelles perspectives applicatives et une bonne visibilité académique.

Profil recherché :
Nous recherchons un(e) candidat(e) diplômé(e) d’une école d’ingénieur et/ou d’un M2, avec de solides bases en science des matériaux (ou domaine connexe) et un réel intérêt pour le travail expérimental. Une première expérience en tribologie et/ou en élaboration et caractérisation des matériaux constituera un atout fort. Le/la candidat(e) devra faire preuve d’autonomie, de rigueur scientifique et de curiosité pour s’investir dans un sujet à l’interface entre matériaux, procédés et tribologie. Une bonne capacité d’analyse et de synthèse est attendue, ainsi qu’un goût pour l’innovation et la résolution de problèmes. Des qualités d’adaptabilité, de créativité et de communication en anglais seront essentielles pour évoluer efficacement dans un environnement de recherche collaboratif. Pour postuler : Envoyer votre dossier à imene.lahouij@minesparis.psl.eu

Candidater

[Contrat doctoral] Spéciation et devenir de l’OBT dans les écosystèmes terrestres : approche intégrée par fractionnement géochimique, FTMS, scintillation liquide et modélisation radiol à CEA

Fri, 29 May 2026 17:53:06 +0200

Contexte :

Le tritium, isotope radioactif de l’hydrogène est largement présent dans l’environnent tant dans l’atmosphère que dans l’hydrosphère, sous forme principalement d’eau tritiée (HTO). En raison de sa similitude chimique avec l’hydrogène stable, il participe aux grands cycles biogéochimiques et interagit étroitement avec les organismes vivants. A travers des processus métaboliques fondamentaux, tels que l’hydratation et la photosynthèse, le tritium peut être incorporé dans la matière organique, conduisant à la formation de tritium organiquement lié (TOL ou OBT pour Organically Bound Tritium).

Contrairement au tritium sous forme libre, caractérisé par une dynamique rapide d’échange avec l’eau corporelle, le TOL présente une rétention plus prolongée dans les tissus biologiques. Cette spécificité confère au TOL des propriétés radiobiologiques particulières, notamment un potentiel d’exposition interne accru lié à sa demi-vie biologique plus longue et à son incorporation dans des composés organiques stables. Par conséquent, le TOL est désormais considéré comme un paramètre clé dans l’évaluation de l’impact radiologique associé aux rejets de tritium issus des installations nucléaires.

Dans ce contexte, la caractérisation du TOL dans l’environnement constitue un enjeu scientifique et méthodologique majeur. Le choix du compartiment environnemental étudié — qu’il s’agisse des sols, des végétaux ou des sédiments — apparaît déterminant, dans la mesure où chaque matrice présente des capacités distinctes d’incorporation, de transformation et de rétention du tritium. La distinction entre bioaccumulateurs et bio-indicateurs, ainsi que les processus écophysiologiques qui leur sont associés, influencent directement les concentrations mesurées et leur représentativité. Cette variabilité, encore difficile à quantifier de manière robuste, introduit des incertitudes significatives dans l’interprétation des données et, par conséquent, dans l’évaluation globale de l’impact environnemental du tritium. Dans cette perspective, il est essentiel de mieux comprendre les mécanismes gouvernant la formation et la distribution du TOL dans les différents compartiments de l’environnement, afin d’améliorer la pertinence des approches de surveillance et de renforcer la fiabilité des évaluations radiologiques.

Les activités industrielles et nucléaires, historiques ou futures notamment dans les domaines de la gestion des déchets radioactifs et de la fusion nucléaire, , soulèvent des enjeux majeurs en matière de radioprotection et d’évaluation des risques environnementaux. Parmi les radionucléides d’intérêt, le tritium organiquement lié (TOL) occupe une place particulière en raison de sa persistance dans les écosystèmes et de son potentiel de transfert au sein des réseaux trophiques.

Malgré les avancées récentes, les mécanismes gouvernant l’incorporation du tritium dans la matière organique et sa répartition entre les différentes fractions organiques demeurent encore imparfaitement compris. Cette méconnaissance constitue une limite importante à la prédiction des comportements écotoxicologiques et des doses associées à l’exposition interne, en particulier pour le biota et les compartiments environnementaux complexes.

Dans ce contexte, ce projet de recherche propose une approche intégrée visant à améliorer la compréhension de ces processus. Celle-ci repose sur la combinaison du fractionnement géochimique de la matière organique, de l’analyse moléculaire à très haute résolution par spectrométrie de masse Orbitrap, et de la modélisation des transferts environnementaux du tritium. L’objectif vise à réduire les incertitudes associées à la dynamique du Tritium organiquement lié (TOL) et à renforcer la robustesse des évaluations de risques radiologique.

Objectifs de la thèse :

Le tritium est l’un des radionucléides les plus rejetés dans l’atmosphère et contribue de manière significative à la dose annuelle reçue par les populations locales, principalement via l’ingestion de produits alimentaires issus de la production locale. Dans ce contexte, ce projet de recherche vise à étudier et évaluer les niveaux d’activité du tritium organiquement lié (TOL) dans les compartiments environnementaux, afin de :

Evaluer l’impact radiologique associé aux activités passées, notamment en lien avec les rejets historiques de tritium.
Anticiper les impacts radiologiques liés aux activités futures en intégrant les processus physiologiques et écologiques, et en identifiant les niveaux d’iso-activités au seun des différents compartiments environnementaux (sols, végétaux, chaîne trophique).

Pour atteindre ces objectifs globaux, le projet s’articule autour de quatre axes complémentaires :

1. Objectif analytique : Quantifier et spatialiser les activités en TOL dans les différents compartiments environnementaux étudiés.

Déterminer les niveaux d’activité du tritium organiquement lié (TOL) dans les sols et les végétaux (feuilles, racines, cultures), en s’appuyant sur la technique scintillation liquide afin d’assurer une quantification précise des activités (Bq/kg).
Établir des cartes d’iso-activités afin de visualiser la distribution spatiale du tritium organiquement lié (TOL) et d’identifier les zones d’intérêt ou sensibles, notamment les zones agricoles et les écosystèmes vulnérables.
Évaluer la contribution des rejets historiques associés aux installations nucléaires et aux événements accidentels, ainsi que les impacts potentiels des activités futures(notamment les projets de fusion nucléaire, et les stratégies de gestion des déchets), en intégrant les principales voies d’exposition humaine en particulier l’ingestion et l’inhalation.

2. Objectif géochimique : Caractériser la spéciation moléculaire de TOL afin de mieux comprendre ses formes d’association au sein de la matière organique et sa distribution entre les différentes fractions géochimiques.

Procéder au fractionnement de la matière organique des échantillons (végétaux, sols) à l’aide de techniques d’extraction accélérée par solvant (ASE) et de chromatographie semi-préparative (SPE/colonnes), afin d’isoler les principales fractions organiques, notammant les fractions lipidiques, hydrophiles, et macromoléculaires (telles que les acides humiques, polysaccharides).
Identifier les compositions moléculaires associées au tritium organiquement lié (OBT) par spectrométrie de masse ultra-haute résolution (Orbitrap), en ciblant les principales familles de composés organiques, notamment les lipides, les protéines et les substances humiques.
Corréler les profils moléculaires obtenus avec les activités mesurées afin d’identifier les fractions organiques jouant un rôle de réservoirs ou de vecteurs de transfert du tritium organiquement lié(TOL).

3. Objectif modélisation : Développer et appliquer des approches de modélisation permettant de prédire les impacts radiologiques et éco-toxicologiques associés au tritium organiquement lié (TOL) Développer un modèle de transfert environnemental intégrant :

Les données de spéciation moléculaire (Orbitrap).
Les activités mesurées (scintillation liquide).
Les paramètres écophysiologiques (ex. : métabolisme végétal, dégradation de la matière organique).

Proposer des scénarios prédictifs relatifs aux activités futures intégrant notamment les effets des changements climatiques et de nouveaux rejets rejets potentiels et définir des seuils d’iso-activités pertinents pour l’évaluation et la gestion du risque radiologique.

4. Objectif appliqué : Développer des outils méthodologiques et opérationnels destinés à améliorer la gestion, la surveillance et la régulation des impacts associés au tritium organiquement lié dans l’environnement.

Standardiser une méthodologie innovante combinant ASE, SPE et Orbitrap, afin de garantir une analyse reproductible du tritium organiquement lié (TOL) dans différents contextes, notamment les sites contaminés et les études de biodisponibilité

Déroulement de la thèse :

Ce projet de thèse qui se déroulera entre le site CEA de Bruyères-le-Châtel (expertise de spéctrométrie de masse) et de Valduc (expertise Tritium), s’étendra sur 36 mois et s’organisera en six phases clés, associant travail de terrain, analyses en laboratoire, modélisation et valorisation des résultats. Chaque phase est structurée pour répondre aux objectifs scientifiques tout en assurant une progression cohérente, intégrée et collaborative.

Phase 1 : État de l’art et préparation (Mois 1–4)

Objectifs :

Réaliser une synthétise les connaissances relatives à la spéciation de l’OBT, aux méthodes de fractionnement de la matière organique, et aux modèles de transfert environnemental.
Identifier les sites d’étude (zones impactées par des rejets historiques et zones de référence) en collaboration avec le CEA et l’IRSN.
Optimiser les protocoles d’échantillonnage et de conservation des matrices environnementales (sols, végétaux).

Livrables :

Une revue bibliographique publiée sous forme d’article ou de rapport interne.
Une liste des sites prioritaires ainsi qu’un plan d’échantillonnage validé en concertation avec les partenaires du projet

Phase 2 : Campagnes de terrain et échantillonnage (Mois 5–10)

Objectifs :

Réaliser la collecte d’échantillons de sols (par horizons) et de végétaux (feuilles, racines, cultures locales) sur les sites d’étude sélectionnés.
Assurer l’Archivage les échantillons pour des analyses ultérieures, incluant la conservation des matrices végétales à 80°C et lalyophilisation des échantillons de sols).
Documenter les conditions environnementales associéses aux prélèvements (pH, humidité, type de culture) afin de faciliter l’interpréttation des résultats analytiques.

Méthodes :

Réaliser des Prélèvements stratifiés en tenant compte de la profondeur pour les solset des différents organes pour les végétaux).

Utilisation de protocoles standardisés (normes ISO pour les sols, méthodes CEA pour les végétaux).

Livrables :

Constituer une base de données géoréférencée regroupant l’ensemble des échantillons (métadonnées : localisation, date, conditions).
Rédiger Un rapport de terraindétaillant les sites étudiés ainsi que l’ensembledes échantillons collectés.

Phase 3 : Fractionnement et analyse de la matière organique (Mois 11–20)

Objectifs :

Extraire la matière organique des échantillons par ASE (Accelerated Solvent Extraction) en utilisant des solvants polaires et apolaires.

Fractionner la matière organique par SPE ou colonnes semi-préparatives pour isoler les fractions lipidiques, hydrophiles et macromoléculaires.

Déterminer les activités de tritium organiquement lié (TOL) dans chaque fraction par scintillation liquide, afin de caractériser leur distribution.

Méthodes :

Fractionnement sur colonnes de silice ou phases inversées (C18).

Analyse par scintillation liquide (compteur Tri-Carb ou équivalent) pour quantifier le TOL (Bq/kg).

Contrôle qualité : utilisation de standards certifiés et de blancs pour valider les résultats.

Livrables :

Un protocole optimisé pour le fractionnement et l’analyse du tritium organiquement lié (TOL).

Des données brutes d’activités et de répartition des fractions organiques en fonction des différents compartiments environnementaux

Profil recherché :
Formation académique : Master 2 (ou équivalent) en chimie analytique, biogéochimie ou sciences de l’environnement, avec une spécialisation en spectrométrie de masse, géochimie organique Connaissances solides en chimie organique, biogéochimie des radionucléides, et processus écologiques (transfert dans les sols, les végétaux et les écosystèmes). Expérience en traitement de données analytiques souhaitable Compétences techniques : Maîtrise des techniques analytiques : Spectrométrie de masse ultra-haute résolution (Orbitrap, FTMS) Méthodes de fractionnement géochimique (ASE, SPE, chromatographie semi-préparative). Scintillation liquide (Tri-Carb ou équivalent) pour la quantification du tritium organiquement lié (TOL/OBT). Préparation d’échantillons complexes (sols, végétaux, sédiments) et protocoles d’extraction/lyophilisation. Modélisation : Utilisation d’outils de modélisation environnementale et compréhension des processus de transfert des radionucléides. Capacité à intégrer des données multi-sources (spéciation moléculaire, activités radiologiques, paramètres écophysiologiques) pour développer des modèles prédictifs. Qualités personnelles et aptitudes Rigueur scientifique : Capacité à concevoir et optimiser des protocoles expérimentaux, avec une attention particulière à la reproductibilité et au contrôle qualité (blancs, standards certifiés). Autonomie et adaptabilité : Aptitude à travailler en laboratoire (CEA Bruyères-le-Châtel et Valduc) et sur le terrain (campagnes d’échantillonnage), avec une gestion efficace des imprévus analytiques ou logistiques. Esprit collaboratif : Ouverture au travail en équipe pluridisciplinaire et avec des partenaires externes. Curiosité et innovation : Intérêt pour le développement de méthodologies innovantes (ex. : couplage ASE-SPE-Orbitrap) et pour l’interprétation intégrée de données complexes (corrélation spéciation/molécules/activités). Communication : Rédaction d’articles scientifiques et de rapports techniques en français et en anglais. Présentation de résultats lors de conférences ou de réunions de projet. Environnement de travail Lieux : Alternance entre les sites du CEA Bruyères-le-Châtel (spectrométrie de masse) et CEA Valduc (expertise tritium), avec des missions de terrain en France. Encadrement : Co-encadrement par Maxime Bridoux (CEA/DAM/DIF) et Yvan Losset (CEA/DAM/VA), avec accès à des plateformes analytiques de pointe (Orbitrap Fusion Lumos, ASE, scintillation liquide). Ce poste est ouvert uniquement aux candidats de nationalité française, en raison des exigences de sécurité liées au site.Les candidats doivent être éligibles à une habilitation de sécurité (niveau Confidentiel Défense).

Candidater

[Contrat doctoral] Décontamination du lait de vache par plasma à Laboratoire DPHE

Fri, 29 May 2026 17:53:06 +0200

PROFIL DU POSTE (Contexte, description du projet et activités principales)
La contamination microbiologique représente un enjeu central pour l’industrie laitière en raison de la forte valeur nutritive des produits laitiers, qui en fait un milieu particulièrement favorable au développement de bactéries, levures et moisissures. Les sources de contamination sont multiples et interviennent à toutes les étapes de la chaîne. Dans ce contexte, la maîtrise de la contamination via des stratégies de décontamination efficaces et adaptées à chaque matrice telle que le lait est un impératif majeur pour l’industrie laitière moderne.

Pour les matrices alimentaires, les méthodes de décontamination diffèrent selon la nature du produit. La pasteurisation constitue la méthode de référence pour le lait. Le procédé HTST (High Temperature Short Time) consiste à chauffer le lait à 72 °C pendant au moins 15 secondes, ce qui élimine efficacement les pathogènes tout en préservant partiellement les qualités organoleptiques du lait. Pour une stérilisation plus poussée, le traitement UHT (Ultra High Temperature) expose le lait à des températures supérieures à 135 °C pendant 3-4 secondes. Ces traitements thermiques présentent néanmoins des inconvénients majeurs : dénaturation des protéines, perte d'arômes volatils, dégradation des vitamines thermosensibles (vitamine C, B12), réactions de Maillard entraînant un brunissement non enzymatique, et une modification du point de congélation.

Les limites des méthodes conventionnelles de décontamination ont conduit à un intérêt croissant pour des procédés non thermiques plus respectueux des matrices laitières et de l’environnement, tout en garantissant un haut niveau de sécurité microbiologique. Parmi ces technologies émergentes, les plasmas froids à pression atmosphérique apparaissent comme une alternative prometteuse aux traitements thermiques et chimiques, en permettant une inactivation microbienne efficace à basse température sans ajout direct de réactifs chimiques. Plusieurs travaux montrent que les plasmas froids peuvent être utilisés pour la décontamination du lait, ouvrant la voie à une approche intégrée de maîtrise de la contamination dans les ateliers laitiers.

Cette thèse a pour objectif d’évaluer le potentiel du plasma pour décontaminer le lait destiné à la production de produits laitiers (lait de transformation). Un lait artificiel standardisé servira d’abord de matrice modèle pour optimiser les paramètres de traitement (type de décharge, tension, gaz, temps d’exposition). Ces conditions optimales seront ensuite affinées puis validées sur du lait écrémé et du lait entier. Le défi est d’établir des conditions de traitement permettant une inactivation bactérienne sans modifier significativement les propriétés fonctionnelles, sensorielles et nutritionnelles du lait. Les travaux de thèse ont été décomposés en 3 lots.

L’objectif du lot 1 est d’identifier la source plasma la plus adaptée au traitement du lait en se basant sur l’efficacité de décontamination des systèmes plasma testés et leur capacité à préserver les propriétés physico-chimiques du lait. Les caractérisations seront basées sur des diagnostics électriques et optiques (spectromètre, camera ICCD). Les tâches associées sont les suivantes : caractérisations expérimentales de prototypes plasma pour le traitement du lait ; estimation de la puissance consommée ; identification des espèces réactives produites en phase gazeuse ; visualisation de la dynamique de décharge plasma (homogénéité, stabilité) ; validation croisée efficacité microbiologique/qualité.

L’objectif du lot 2 est de démontrer l’efficacité biocide du plasma sur le lait et de contribuer à la phase d’optimisation du lot 1. Les tâches associées sont les suivantes : formulation et validation du lait modèle (composition chimique, stabilité) ; préparation des inocula standardisés (pathogènes et flores d'altération) / Mise au point du protocole de traitement plasma sur lait modèle ; analyse des courbes d'inactivation pour chaque microorganisme testé sous forme planctonique et sessile dans un milieu de référence et dans un lait modèle ; sélection des paramètres optimaux du plasma pour progression vers un lait réel.

L’objectif du lot 3 est d’évaluer certains effets secondaires du traitement par plasma sur différents laits (modèle, écrémé, entier). Les analyses du lait traité par plasma permettront d’évaluer l’impact du traitement sur ses principales propriétés physico-chimiques : la température, le pH et la conductivité électrique. Ces mesures permettront de suivre certaines modifications potentielles liées à la formation de RONS dans le liquide et de corréler les paramètres plasma avec la préservation de la matrice laitière. Les taches associées concernent l’évaluation des modifications physico-chimiques du lait et des propriétés fonctionnelles (fermentescibilité, capacité de coagulation).

Les retombées attendues de ces travaux de recherche sont les suivantes :

Identification d’au moins une source plasma pour la décontamination du lait modèle, écrémé et entier
Validation de l’efficacité de décontamination sur des pathogènes prioritaires sans altération significative des propriétés intrinsèques du lait
Caractérisation des modifications induites sur les lipides, protéines et composés volatils du lait traité
Définition d’une fenêtre opératoire optimale alliant efficacité de décontamination et préservation de la qualité nutritionnelle et organoleptique du lait

PARTENARIATS
La thèse s'inscrit dans une démarche résolument collaborative au sein d’un projet plus large qui réunit 2 unités de recherche ayant des expertises complémentaires en physique des plasmas, biologie et agroalimentaire : l’Unité de Recherche DPHE et l’Unité Matériaux et Transformations (UMET), unité mixte de recherche rattachée au CNRS et à l’Université de Lille. Cette dernière développe des recherches en science des matériaux, physico-chimie des interfaces et transformations des systèmes complexes. Enfin, ce projet est soutenu au niveau national par le Centre National Interprofessionnel de l'Economie Laitière (CNIEL, https://www.cniel.com/).

Profil recherché :
COMPETENCES PROFESSIONNELLES Nous recherchons un(e) doctorant(e) titulaire d'un Master 2 en physique des plasmas ou domaine connexe, avec des compétences en diagnostics électriques et optiques (spectroscopie, imagerie ICCD) pour la caractérisation et la compréhension des décharges électriques. Une sensibilité aux applications biologiques des plasmas et un intérêt pour l'interdisciplinarité constituent des atouts pour les futurs candidats. Un bon niveau d’anglais serait un plus.

Candidater

[Contrat doctoral] Topological Acoustic Metamaterials for Robust Wave Control à Institut Jean Lamour - CNRS - Université de Lorraine

Fri, 29 May 2026 17:53:05 +0200

Over the past decade, topology has reshaped our understanding of wave physics, extending far beyond condensed matter systems into photonics and acoustics. One of its most striking consequences is the existence of edge, surface, and corner states that remain robust in the presence of defects, disorder, or imperfections.

In acoustics, this conceptual framework is realized through phononic crystals and acoustic metamaterials—engineered structures that enable exceptional control over the propagation of mechanical waves. Their macroscopic scale and experimental accessibility make them particularly well suited for investigating fundamental physical phenomena while simultaneously addressing practical challenges. Topological acoustic platforms have already demonstrated robust waveguiding and delay functionalities, and they hold strong promise for the development of phononic circuits resilient to fabrication tolerances. In elastodynamic systems, such approaches enable guided modes that are immune to defects, opening opportunities in optomechanics, acousto-optic devices, and acoustic signal processing. More broadly, they offer new avenues for high-performance sensing, vibration and noise mitigation, energy localization and harvesting, and advanced biomedical ultrasound technologies where robustness and confinement are critical.

This PhD project aims to investigate topological phenomena in acoustic metamaterials through an integrated approach combining design, numerical modeling, and experimental validation. The candidate will focus in particular on extending the concept of bulk–boundary correspondence to realistic and complex systems. The ultimate goal is to develop innovative strategies for controlling sound and vibrations, paving the way toward next-generation phononic devices and systems for signal processing, computing, and ultrasound applications.

Profil recherché :
Master’s degree in Physics, Wave Physics, Mechanical Engineering, Applied Physics, Acoustics, Structural dynamics, Applied Mechanics, or equivalent.

Candidater

[Contrat doctoral] Non-Hermitian Topological Acoustic Metamaterials for Robust Wave Control à Institut Jean Lamour - CNRS - Université de Lorraine

Fri, 29 May 2026 17:53:05 +0200

The paradigm of topology has profoundly impacted condensed matter physics in recent years. This paradigm has been successfully extended to photonics and acoustics. A key outcome is the emergence of topologically protected edge, surface, and corner states, which exhibit remarkable robustness against defects and disorder.

This framework has been enabled by phononic crystals and acoustic metamaterials which are engineered structures offering unprecedented control over wave propagation. In acoustics, their macroscopic nature and experimental accessibility provide an ideal platform to explore novel wave phenomena while targeting concrete technological applications. Topological acoustic systems already enable robust waveguiding, delay lines, and offer strong potential for phononic circuits immune to fabrication imperfections. In elastodynamics, they support defect-immune guided modes relevant for optomechanics, on-chip acousto-optic modulation, and acoustic information processing. More broadly, these concepts open perspectives for high-performance sensing, vibration and noise control, energy localization and harvesting, as well as advanced biomedical ultrasound technologies where robustness and wave confinement are essential.

The topology of Hermitian systems is now well established. Introducing gain, loss, or non-reciprocity leads to non-Hermitian physics where topology is more delicate. However non-Hermitian systems exhibit phenomena that have no equivalent in Hermitian systems.

The objective of this PhD is to explore the interplay between topology and non-Hermiticity in acoustic metamaterials through the design, modeling, and experimental realization of novel structures supporting higher-order topological states and non-Hermitian skin effects. The candidate will develop active control strategies based on gain/loss engineering and non-reciprocity, and investigate generalized bulk-boundary correspondence in realistic systems. Ultimately, this work aims to establish new paradigms for manipulating sound and vibrations, with impact on phononic technologies, acoustic signal processing, computing, and next-generation ultrasound systems.

Profil recherché :
Master’s degree in Physics, Wave Physics, Mechanical Engineering, Applied Physics, Acoustics, Structural dynamics, Applied Mechanics, or equivalent.

Candidater

[Contrat doctoral] MITIS (MITs pour l’Isolation Intelligente des aimants Supraconducteurs) à Université Lorraine

Fri, 29 May 2026 17:53:05 +0200

Contexte scientifique

Les grands aimants supraconducteurs sont au cœur de technologies critiques telles que la fusion, les accélérateurs, le stockage magnétique de l’énergie et certains systèmes électriques de forte puissance. Leur densité d’énergie et leur performance reposent sur une maîtrise fine des phénomènes électromagnétiques, thermiques et de protection en régime transitoire.

Les systèmes d’isolation conventionnels restent essentiellement passifs. S’ils assurent une séparation électrique robuste, ils peuvent aussi limiter les chemins de redistribution du courant et d’évacuation thermique lors d’un quench (transition locale de l’état supraconducteur à l’état résistif). Dans ce contexte, le concept de smart insulation vise à introduire une fonctionnalité supplémentaire dans l’isolant, afin qu’il participe activement à la protection du système.

Verrou scientifique et opportunité

Parmi les familles de matériaux candidates, les oxydes de vanadium (VxOy) présentent un intérêt particulier en raison de leurs transitions métal-isolant, de leurs propriétés thermoélectriques et de la possibilité d’ajuster leur comportement par la composition, la microstructure et le procédé d’élaboration. L’enjeu consiste à identifier des compositions et des architectures compatibles avec les contraintes des aimants supraconducteurs, puis à démontrer leur intérêt à l’échelle matériau, composant et système.

La thèse se situe ainsi à l’interface entre science des matériaux, supraconductivité appliquée, électrothermie et modélisation multiphysique. Elle a pour ambition d’établir un lien direct entre synthèse, caractérisation, intégration et validation fonctionnelle d’un concept de smart insulation pour aimants supraconducteurs.

Objectifs de la thèse

L’objectif général est de développer et d’évaluer une nouvelle génération d’isolants intelligents à base d’oxydes de vanadium pour la protection active des aimants supraconducteurs.

identifier les compositions VxOy les plus pertinentes pour une activation électrique ou électrothermique dans la fenêtre de température d’intérêt ;
élaborer et optimiser les matériaux en jouant sur la synthèse, la densification, la microstructure et les interfaces ;
mesurer les propriétés structurales, microstructurales, électriques et thermiques nécessaires à l’évaluation du concept ;
intégrer les matériaux retenus dans des démonstrateurs représentatifs de smart insulation ;
injecter les propriétés mesurées dans des modèles électrothermiques et multiphysiques afin de quantifier leur impact sur la protection des aimants.

Programme de recherche envisagé

Le travail doctoral pourra s’articuler autour de quatre axes complémentaires :

Axe 1. Synthèse et sélection matériau. Exploration de différentes compositions VxOy et de différentes voies d’élaboration, par exemple traitements thermiques sous atmosphère contrôlée, voies hydrothermales ou procédés de densification adaptés.
Axe 2. Caractérisation structurale, microstructurale et fonctionnelle. Les matériaux élaborés seront étudiés par diffraction des rayons X, microscopies, analyses thermiques et mesures de transport électrique et thermique en fonction de la température.
Axe 3. Mise en forme et intégration dans des démonstrateurs. Les composés retenus seront intégrés sous une forme compatible avec un usage réel : couches fonctionnelles, interfaces actives ou coupons représentatifs de smart insulation.
Axe 4. Modélisation multiphysique et validation système. Les propriétés mesurées seront introduites dans des modèles analytiques et numériques afin d’évaluer l’effet du matériau sur la redistribution du courant, l’échauffement local, la tension de bobine et la protection globale en régime de quench.

Profil recherché :
Le ou la candidate devra disposer d’une solide formation en science des matériaux, physique de la matière condensée, génie électrique, génie des procédés ou domaine voisin. Un goût prononcé pour le travail expérimental et interdisciplinaire sera particulièrement apprécié. une expérience en synthèse de matériaux inorganiques ou en caractérisation physicochimique ; une familiarité avec les mesures électriques et thermiques en fonction de la température ; un intérêt pour la modélisation multiphysique, la supraconductivité appliquée ou les matériaux fonctionnels ; de bonnes capacités de rédaction scientifique, d’autonomie, de rigueur et de travail en équipe.

Candidater

[Contrat doctoral] Caractérisation des mécanismes radiolytiques dans les systèmes eau tritiée – zéolithe en condition d’entreposage à CEA/Saclay

Fri, 29 May 2026 17:53:04 +0200

Contexte scientifique et enjeux

La gestion des effluents tritiés constitue un enjeu majeur pour les installations nucléaires, en particulier pour les activités liées au tritium au sein du CEA de Valduc. Ces installations génèrent des effluents liquides sous forme d’eau faiblement tritiée, dont la faible activité volumique ne permet pas une valorisation directe. Leur stockage sous forme liquide posant des contraintes opérationnelles fortes, une stratégie alternative consiste à immobiliser cette eau par adsorption dans des matrices solides de type alumino-silicates, notamment des zéolithes 4A, conditionnées en conteneurs étanches.

Dans ce contexte, la compréhension fine des phénomènes physicochimiques se produisant au cours de l’entreposage à long terme est cruciale. En particulier, l’auto-radiolyse de l’eau tritiée confinée dans les pores nanométriques des zéolithes génère des espèces gazeuses (H₂, O₂) et des intermédiaires réactifs dont le comportement reste encore partiellement compris. Ces processus conditionnent directement la sûreté du stockage.

Les travaux menés ces dernières années ont permis des avancées significatives. Des observations expérimentales ont notamment mis en évidence un phénomène inattendu de recombinaison des gaz radiolytiques (H₂ et O₂) lorsque la zéolithe est partiellement hydratée (en dessous d’un seuil d’environ 13 %). En parallèle, des approches de modélisation (DFT, dynamique moléculaire, Monte Carlo cinétique) ont permis de mieux comprendre les sites d’adsorption, la mobilité des espèces et leur probabilité de rencontre dans la matrice poreuse. Ces études suggèrent l’existence d’un seuil critique d’hydratation au-delà duquel la diffusion des gaz devient fortement limitée, ce qui impacte directement les mécanismes réactionnels.

Cependant, ces travaux reposent majoritairement sur des systèmes idéalisés, éloignés des conditions réelles d’entreposage. Par ailleurs, les modèles développés restent encore peu contraints par des données expérimentales directes sur les mécanismes réactionnels en milieu confiné.

Objectifs de la thèse

L’objectif principal de cette thèse est de replacer l’expérimental au cœur de l’étude de la radiolyse confinée, afin de réduire l’écart entre approches fondamentales et conditions opérationnelles.

Le projet s’articule autour de trois axes principaux :

1. Caractérisation des matériaux réels de stockage
Une étude approfondie de la zéolithe utilisée industriellement sera menée. Ce matériau, sous forme de billes incorporant un liant (probablement argileux), présente une complexité structurale encore peu explorée. L’objectif sera d’en déterminer les propriétés structurales, texturales et chimiques, ainsi que leur influence sur l’adsorption de l’eau.

2. Simulation expérimentale de la radiolyse en conditions confinées
Des systèmes modèles seront développés en laboratoire, basés sur l’adsorption d’eau non tritiée dans les zéolithes, puis soumis à irradiation externe afin de reproduire les effets de la radiolyse du tritium. Ces expériences permettront de suivre la formation, l’évolution et les interactions des espèces radiolytiques dans un environnement contrôlé mais représentatif.

3. Identification des mécanismes réactionnels à l’échelle moléculaire
Un ensemble de techniques avancées sera mis en œuvre pour sonder le système de manière in situ et multi-échelle :

La RMN multinoyaux (¹H, ²⁹Si, ²⁷Al, ²³Na, ¹⁷O) permettra d’accéder aux environnements chimiques de la charpente, de l’eau confinée et des produits de radiolyse. L’utilisation d’eau enrichie en ¹⁷O offrira une sensibilité accrue aux interactions eau–zéolithe.
La résonance paramagnétique électronique (RPE) permettra de détecter et de caractériser les espèces radicalaires transitoires (par exemple HO^•), potentiellement impliquées dans les mécanismes de recombinaison.

Retombées attendues

Les résultats attendus sont à la fois fondamentaux et appliqués :

Une meilleure compréhension des mécanismes de radiolyse en milieu confiné, au cœur des problématiques de chimie sous rayonnement et d’effets de confinement.
L’identification des paramètres clés contrôlant la formation, la diffusion et la recombinaison des espèces gazeuses.
La production de données expérimentales originales permettant de contraindre et d’améliorer les modèles prédictifs développés précédemment (DFT, DM, KMC).
Des recommandations concrètes pour optimiser les conditions d’entreposage de l’eau tritiée (taux d’hydratation, formulation des matériaux, conditions de stockage).

Environnement scientifique

La thèse se déroulera principalement au sein du laboratoire NIMBE (UMR CEA–CNRS 3685) à Paris-Saclay, reconnu pour son expertise en physicochimie des matériaux, chimie sous rayonnement et caractérisations multi-échelles. Le doctorant bénéficiera d’un environnement expérimental de pointe et d’un encadrement pluridisciplinaire.

Le projet s’inscrit dans une collaboration étroite avec le CEA de Valduc, qui apportera son expertise sur le tritium, ses composés et les problématiques industrielles associées au stockage. Des interactions régulières entre les équipes permettront d’assurer une forte cohérence entre recherche académique et enjeux opérationnels.

Profil recherché :
Le (la) candidat(e) doit avoir des bases solides en chimie physique, chimie des matériaux et en techniques magnétiques (RMN et RPE). Le (la) candidat(e) doit posséder de la rigueur, de la curiosité, du goût pour l’expérimentation, l’instrumentation et du sens critique.

Candidater

[Stage] « Etude de l’ablation de matériaux plastiques par un arc électrique » à Laboratoire LAPLACE UMR

Fri, 29 May 2026 17:53:04 +0200

Introduction

Les plasmas d’arc se rencontrent dans de nombreuses applications et systèmes. Dans les systèmes on peut noter ceux de protection tels que les disjoncteurs basse tension et les parafoudres. Lors de leur fonctionnement un arc électrique est créé conduisant à la présence d’un gaz ionisé à haute température (" 10kK). Cet arc se déplace sous l’action de différentes forces vers une chambre de coupure sur des durées de l’ordre de la milliseconde. Nous nous intéressons ici au cas d’un parafoudre avec une onde impulsionnelle de courant 8/20ms suivie d’un courant de suite de l’ordre de " 100A. En se déplaçant, le plasma à haute température vient « lécher » les parois plastiques du boitier engendrant un milieu gazeux ensemencé de vapeurs organiques. Ces vapeurs ont pour conséquences principales de changer les propriétés du milieu et ainsi de modifier la tension du système et d’augmenter la vitesse de déplacement. Dans les études théoriques engagées ces dernières années sur les parafoudres y compris dans la communauté scientifique, ces vapeurs ne sont pas prises en compte. Le stage consistera donc à mettre en place les briques essentielles à leur incorporation dans les modélisations.

Sujet Proposé

Après une étude bibliographique (Jalon 1) pour se familiariser avec les systèmes de parafoudre, l’étudiant rassemblera les données (propriétés thermodynamiques, coefficients de transport, propriétés radiatives) relatives au POM (matériau organique constituant le boitier) (Jalon 2). Dans une configuration simplifiée, il utilisera les outils de l’équipe pour représenter un plasma d’arc confiné par des parois (Jalon 3). Il élaborera une prise en compte du bilan au niveau du POM (essentiellement flux par conduction et par rayonnement) et proposera un modèle d’érosion (Jalon 4). La composante radiative étant prépondérante la méthode DOM ou hybride devra être mise en œuvre et les caractéristiques du milieu comparées à celles obtenues par la méthode du coefficient d’émission nette (Jalon 5). Les bases du modèle de vaporisation seront implémentées (Jalon 6). Le milieu sera de l’air plus ou moins ensemencé en POM suivant l’intensité mise en jeu. L’étudiant pourra s’appuyer sur l’expertise de l’équipe AEPPT et des ingénieurs de chez CITEL.

Possibilité de poursuire en thèse

Ces travaux se poursuivront sur une thèse en collaboration avec la société CITEL.

Références:

[1] J. Lu et al., “Experimental Studies of Arc Motion Between Two Parallel Runners with Splitter Plates,” PPT, vol. 7, no. 1, pp. 16–20, Jun. 2020, doi: 10.14311/ppt.2020.1.16.

[2] J. Quéméneur, J. Lu, J. J. Gonzalez, and P. Freton, “Arc Motion in Low Voltage Circuit Breaker (LVCB) Experimental and Theoretical Approaches,” p. 13, doi : 10.5923/j.scit.20180802.02.

[3] Y. Gannac, G. Leduc, C. D. Pham, and V. Crevenat, “8/20 and 10/350 surges behaviour of a Gas Discharge Tube according to gas pressure,” Electric Power Systems Research, vol. 197, p. 107302, Aug. 2021, doi: 10.1016/j.epsr.2021.107302.

[4] C. D. Pham, V. Crévenat, and Y. Gannac, “Empirical Model of the Impulse Voltage-Time Characteristic of Gas Discharge Tube,” in 2021 35th International Conference on Lightning Protection (ICLP) and XVI International Symposium on Lightning Protection (SIPDA), 2021, vol. 1, pp. 01–06. doi: 10.1109/ICLPandSIPDA54065.2021.9627368.

[5] G. Finis, M. Wetter, and T. Meyer, “New spark-gap technology with efficient line-follow current suppression for the protection of powerful LV distribution systems,” in 2016 33rd International Conference on Lightning Protection (ICLP), Estoril, Portugal, Sep. 2016, pp. 1–7. doi: 10.1109/ICLP.2016.7791513.

Candidater

[Stage] « Influence des vapeurs métalliques sur le déplacement de l’arc » à Laboratoire LAPLACE UMR

Fri, 29 May 2026 17:53:04 +0200

Introduction

De nos jours, il existe plusieurs types de configurations technologiques dont le fonctionnement implique la génération d’un plasma thermique par arc électrique établi entre deux électrodes. C’est le cas des torches à plasma thermique ainsi que des dispositifs de coupure du courant transitoire : les disjoncteurs à haute et basse tension et les parafoudres. Dans le cas particulier de la coupure basse tension et des éclateurs à gaz (parafoudre), les enjeux concernent : l’augmentation de la tension de l’arc et son extinction le plus rapidement possible par limitation du courant.

Dans la littérature, la majorité des études théoriques et expérimentales sur la coupure basse tension est dédiée à l’étude des phénomènes physiques liés au déplacement de l’arc et à sa segmentation au niveau de séparateurs métalliques. Cependant, une faible importance est accordée aux effets que pourrait engendrer l’émission de vapeurs métalliques issues de l’érosion ou de l’ablation des électrodes par l’arc électrique.

La conception de dispositifs de coupure performants repose sur la compréhension des phénomènes physiques liés au déplacement de l’arc mais également à la compréhension de l’influence de l’interaction de l’arc avec les électrodes impliquant l’émission de vapeurs métalliques. Ces vapeurs métalliques viennent ensemencer le milieu plasma changeant ainsi ses propriétés. Du fait de leur faible potentiel d’ionisation, ces vapeurs métalliques ont tendance à augmenter la conductivité électrique du plasma facilitant ainsi les phénomènes de claquages de l’arc au niveau des zones en proche voisinage des électrodes. Ces phénomènes de claquage peuvent avoir un impact non négligeable sur le déplacement de l’arc pouvant parfois même compromettre le bon fonctionnement du dispositif. L’étude et la compréhension de leur influence sur les caractéristiques du plasma demeurent donc indispensables.

Sujet Proposé

La première partie du stage sera consacrée à une étude bibliographique (approches théoriques et expérimentales) sur les travaux relatifs à l’influence des vapeurs métalliques sur le comportement d’un arc dans l’air. Une synthèse des conclusions principales sera fournie.

Dans un second temps, l’étudiant(e) se familiarisera avec les outils de modélisation de l’équipe AEPPT (Icem et Fluent). L’apprentissage s’effectuera via une configuration d’arc libre qu’il s’agira de reproduire. Au préalable l’étudiant devra se familiariser avec la méthode des volumes finis.

La dernière partie du stage sera consacrée à l’étude de l’influence des vapeurs métalliques sur une configuration simplifiée constituée de deux rails parallèles.

Si le temps le permet, l’étudiant(e) participera à des compagnes expérimentales permettant de mettre en évidence les vapeurs métalliques et leur influence sur le comportement du plasma.

Possibilité de poursuire en thèse : Oui

Profil recherché :
Étudiant(e) en Master 2 ou en dernière année d'Ecole d'Ingénieur dans les domaines de la Physique, des Plasmas, de la Mécanique des fluides, de la simulation multi-physique - Connaissance en langage C - Mécanique des fluides - Physique fondamentale – Connaissance de la physique des plasmas appréciée

Candidater

[Stage] Passive microrheology of modified mucus à Infinte U1286

Fri, 29 May 2026 17:53:04 +0200

The Inserm Unit U1286/Infinte, located on the Lille university hospital campus, is seeking a Master’s (M2) candidate for the 2026–2027 academic year. With a background in university or engineering studies, your profile and interests lie at the interface between biology/biochemistry and biophysics/bioinformatics.

Your project will focus on determining the properties of various mucus samples using passive microrheology, primarily obtained from primary epithelial cell cultures. These studies will be complemented by analyses of bacterial motion. The project mainly involves cell culture as well as computational analysis of the movement of fluorescent beads and bacteria. The objective is to provide proof of concept that selected molecules can modify the properties of altered mucus.

The ideal candidate is meticulous, rigorous, passionate about research, and eager to fully engage in a multidisciplinary project.

Team information: https://lille-inflammation-research.org/en/projects/191-mucus-barrier

Profil recherché :
The ideal candidate is meticulous, rigorous, passionate about research, and eager to fully engage in a multidisciplinary project.

Candidater

[Autre] Chair Professors, Professors, Associate Professors, Assistant Professors, and Assistant Professors à City University of Hong Kong (Dongguan) - Faculty

Sat, 16 May 2026 17:53:09 +0200

Chair Professors, Professors, Associate Professors, Assistant Professors, and Assistant Professors（teaching）

City University of Hong Kong (Dongguan) (CityUHK (Dongguan)) is a jointly established university, fully backed by the City University of Hong Kong (CityUHK). CityUHK (Dongguan) received official approval for its establishment in April 2024 and successfully began recruiting high-caliber students the same year.

CityUHK (Dongguan) upholds CityUHK’s philosophy of "Integration of Teaching and Research" and its forward-looking vision of “Innovating into the Future," ensuring that its academic standards align with those of CityUHK. Currently, the University has been approved to offer 7 undergraduate programs and 15 postgraduate programs. Aligning with world-class university standards, CityUHK (Dongguan) has now launched a global recruitment campaign for faculty members, with key priorities in the following fields:

1. Computer Science and Data Science

This field encompasses Computer Science, Data Science, Artificial Intelligence, and related interdisciplinary areas, with a focus on computing technologies, software development, algorithm design, and data applications.

Discipline, including, but not limited to:

Computer Science and Technology, Cyberspace Security, Data Science and Big Data Technology, Data Computation and Applications, Data Science, Artificial Intelligence.

2. Intelligent Manufacturing and Systems Engineering

Building upon the opportunities presented by "Industry 4.0" and "Smart City" initiatives, this field integrates automation, robotics, advanced manufacturing, integrated circuit technology, industrial engineering, complex systems modeling and optimization, and project management. It is dedicated to driving industrial intelligence upgrading and sustainable urban development.

Discipline, including, but not limited to:

Intelligent Manufacturing Engineering, Intelligent Semiconductor Manufacturing, and Engineering Management.

3. Electronic Engineering

Aspiring to be a global leader in electrical engineering education and research, this field promotes the application of cutting-edge technologies in industry and facilitates technological innovation and knowledge transfer.

Discipline, including, but not limited to:

Electronic and Information Engineering, Computer and Data Engineering, Electronic and Electrical Engineering, Information Engineering, Microelectronics Engineering, Multimedia Information Technology.

4. Biomedical Engineering

Focusing on biomedical systems, medical robotics, imaging, bio-MEMS, and nanomedicine, this field is committed to developing advanced biomedical devices, systems, and solutions for the benefit of society.

Discipline, including, but not limited to:

Biomedical Engineering.

5. Materials Science

Centered on material design, fabrication, and application, this field engages in fundamental research and frontier applications of new materials, covering the complete chain from microscopic nanostructures to macroscopic performance optimization.

Discipline, including, but not limited to:

Materials Science and Engineering, Materials Engineering, and Nanotechnology.

6. Business and Finance

Aimed at nurturing the next generation of business leaders, this field equips students with the strategic insight, business analytics and decision-making, innovative thinking, actionable insights, and strategic solution capabilities required to excel in a data-driven economy.

Discipline, including, but not limited to:

Business Information Systems, Venture Creation, Business and Data Analytics, Financial Engineering.

7. Smart Energy

Dedicated to addressing and solving the pressing energy challenges and related environmental issues of modern society through innovative solutions.

Discipline, including, but not limited to:

Energy and Power Engineering, Energy and Environment.

The University invites individuals from diverse backgrounds to apply for faculty positions at the levels of Chair Professor, Professor, Associate Professor, and Assistant Professor in the aforementioned fields. The primary language of instruction and administration at CityUHK (Dongguan) is English.

Major Responsibilities

The successful candidates will be expected to:

Deliver exceptional education, both independently and collaboratively, for undergraduate and postgraduate courses; Achieve international recognition and demonstrate leadership in their respective fields through outstanding research; Contribute to administrative tasks, ensuring efficient operations and supporting the advancement of the University's mission (applicable to senior faculty); Proactively secure external funding for research projects, promoting technological innovation; Provide exemplary supervision for student projects, internships, and theses, guiding them towards academic excellence.

Qualifications

Applicants should hold a doctoral degree in the relevant field. A strong track record in independent research, teaching, student supervision, and service is highly desirable. Candidates who have recently obtained their PhD with exceptional achievements may also be considered.

For the positions of Chair Professor/ Professor/Associate Professor, applicants should:

Demonstrate a record of world-class academic accomplishments and reputable international academic leadership;
Possess extensive experience in teaching, student supervision, and securing research project funding;
Demonstrate the ability to establish a distinguished research programme aligned with the University's strategic research areas;
Commit to delivering high-quality teaching and supervision to a diverse student population at both undergraduate and postgraduate levels.

For the Assistant Professor position, applicants should:

Demonstrate strong potential in research and teaching that aligns with the University's strategic research areas.

For the Assistant Professor(teaching) position, applicants should:

Demonstrate strong potential in teaching that aligns with the University's strategic research areas.

Compensation and Benefits

We offer a highly competitive package, including excellent fringe benefits and research support:

Competitive remuneration and attractive fringe benefits;
Various government-sponsored talent programmes (for eligible candidates);
Access to top-quality research equipment and support;
Start-up research funding;
Abundant local industry resources for collaborative horizontal projects.

Application Requirements

To apply for faculty positions at CityUHK(Dongguan), please ensure that your application includes the following documents:

A cover letter introducing yourself and expressing your motivation for joining CityUHK(Dongguan). Please highlight your qualifications, relevant experience, and how you envision contributing to the CityUHK (Dongguan) academic community.
A comprehensive resume, which should include a complete publication list showcasing your academic achievements and contributions.
Teaching statements outlining your vision and goals for your future endeavors within the University;
Research statements outlining your vision and goals for your future endeavors within the University (for the Assistant Professor(teaching) position, the research statement is not compulsory);
PDF files of three representative publications demonstrating the quality and impact of your scholarly work (for the Assistant Professor(teaching) position, this item is not compulsory);
The names and contact information of at least 3 references;
Any additional supporting documents or evidence of your research, teaching, or leadership accomplishments that will strengthen your application.

Application Review and Contact Information

Review of applications will commence promptly and continue until all positions are successfully filled. To apply, please send your application materials with the email subject line titled “ Position you apply for+Field+Your name” to college@cityu-dg.edu.cn

For more information, please visit the University website below：

https://www.cityu-dg.edu.cn/en/academic-positions

Candidater

[Autre] Faculty Positions at Institute of Physics (IOP), Chinese Academy of Sciences à Institute of Physics, Chinese Academy of Sciences

Sat, 16 May 2026 17:53:09 +0200

The Institute of Physics (IOP), Chinese Academy of Sciences, is China's premier research institution in condensed matter physics and related fields. With a history spanning over nine decades, IOP has evolved into a comprehensive, multidisciplinary research organization dedicated to both fundamental and applied physics. The institute's current research activities concentrate on condensed matter physics, optical physics, atomic and molecular physics, plasma physics, soft matter physics, and condensed matter theory and computational physics. There are 13 laboratories and 8 centers in our research system together with a strong technical support system. More Information about IOP can be found at www.iop.cas.cn.

IOP is entering a period for rapid expansion of its research bases. We have multiple opening positions at all levels from junior Tenure-Track Assistant Professor to senior Full Professor in multiple research areas, broadly defined. We invite talented applicants who have the capacity or have exhibited the potential of running a world-recognized independent research program. In particular, IOP is making strong efforts to internationalize our faculty members from different culture and ethnic backgrounds. We welcome all applicants worldwide.

Vacancies:

Full Professors and Chair Professors; Tenure-Track Associate Professors -Class A; Tenure-Track Associate Professors -Class B; Key Technologists

1. Full Professors and Chair Professor

Professor or equivalent position from a well-known overseas university or research institute. Principal Investigator or key contributor to research projects with significant achievements.

2. Tenure-Track Associate Professors -Class A

PhD degree with research experience from a well-known overseas or domestic university or research institute. Assistant Professor or equivalent level. Significant scientific achievements, extensive international influence, leadership ability.

3. Tenure-Track Associate Professors -Class B

PhD degree with research experience from a well-known overseas or domestic university or research institute. Significant scientific achievements.

4. Key Technologists

PhD degree with research experience from a well-known overseas or domestic university or research institute. Significant technological achievements.

Benefits:

Competitive salary; Sufficient start-up funding; Well-furnished apartments to rent; Children to be enrolled into good schools.

Preferred fields of research:

Condensed matter theory and computational physics; Experimental condensed matter physics; Materials science; Quantum information; Energy materials; Nano science; Surface sciences; Biophysics; Optics; Magnetism; Atomic and molecular physics including ultracold atom systems; Plasma physics; Research using large scientific facilities (Synergetic Extreme Condition User Facility, Advanced Attosecond Laser Infrastructure, etc.); Applied physics (including: advanced functional materials, applied magnetism, optoelectronic and photonic devices, sensing technology, solid state refrigeration, cryogenic electronics, etc.)

Contact:
E-mail: ioprsc@iphy.ac.cn

Candidater

[Autre] Faculty Positions in Quantum Computing at Institute of Physics (IOP), Chinese Academy of Sciences à Institute of Physics, Chinese Academy of Sciences

Sat, 16 May 2026 17:53:09 +0200

The Quantum Computation Research Center (QCRC) of Institute of Physics (IOP), Chinese Academy of Sciences invites talented applicants from the candidates who have the capacity or have exhibited the potential of running a world-recognized independent research program for multiple opening positions at all levels from junior Tenure-Track Assistant Professor to senior Full Professor in, but not limited to, the following directions:

Superconducting quantum computing
Trapped-ion quantum computing
Quantum algorithms
Quantum simulations
Quantum software
Quantum information theory
Quantum control
Quantum coding theory
Quantum complexity theory
Quantum cryptography
Quantum machine learning
Fault-tolerant quantum computing

Applicants with diverse backgrounds including physics, math, computer science, and software engineering are welcome.

The Quantum Computation Research Center aims to build a central hub for quantum computing research and is making strong efforts to internationalize the faculty members from different culture and ethnic backgrounds.

How to apply

Application deadline: Four times a year

- January 31 for spring term
- May 31 for summer term
- August 31 for fall term
- November 30 for winter term
- Timely offer can be made.

Contact:
E-mail: ioprsc@iphy.ac.cn

Candidater

[Autre] Early-Career Group Leader Opportunities: Xuemin Investigator Program à Xuemin Institute of Advanced Studies, Fudan University

Wed, 01 Apr 2026 17:53:16 +0200

ABOUT XUEMIN

Xuemin Institute of Advanced Studies at Fudan University is a brand-new research institute made possible by generous private donations. At Xuemin, we aspire to empower global young talents and build a vibrant world-class home for groundbreaking, paradigm-changing discoveries with long-lasting impact. Our research spans from basic to applied and medical research, and from natural to social sciences and cross-disciplinary endeavor.

OUR MISSION

To nurture and empower the world's brightest early-career researchers

To accelerate breakthroughs that push boundaries, redefine frontiers, and advance humanity

To answer big, important questions with next-gen intelligence and bold innovations

CAREER OPPORTUNITIES

The Xuemin Investigator Program invites applications for the faculty position.

We seek outstanding scholars who demonstrate exceptional research potential and are committed to advancing the frontiers of knowledge. If you have bold ideas to pursue and aspire to make transformative contributions to science, we invite you to join our vibrant academic community.

At this stage, our primary emphasis is on basic research in the natural sciences and interdisciplinary domains. The social sciences are an integral part of our long-term vision, and we will expand into these areas in due course. We invite interested scholars to follow our updates for future calls and developments.

Our minimum qualification is:

Doctoral degree (ideally within 7 or 8 years) is required. Exceptional candidates with a new doctoral degree or advanced doctoral candidates in a relevant field will be considered.

All nationalities welcome!

WHAT WE OFFER

#1 Priority: Research Autonomy

Xuemin offers long-term, flexible support for exceptional early-career scientists — ensuring full freedom in research directions, projects, and team building.

No administrative load. No teaching obligation. No “publish or perish.”

Generous, Long-Term Funding and Comprehensive Support

Each faculty member receives a generous start-up package that includes:

Highly internationally-competitive salary and benefits
Start-up funds (based on research needs)
Ample graduate student quota (adjustable based on research needs)
Brand-new research facilities and collaborative spaces
Fast access to Fudan's shared research platforms and state-of-the-art equipment

You are Empowered

We offer research and career coaching from laureates and field leaders, professional research management and operation support, and expert assistance with paper or book publishing. Founders welcome! Experienced one-stop support from filing patents to securing funding and launching startups.

You are in Good Hands

We provide generous housing, health, and retirement benefits with relocation assistance and family support, access to China's best healthcare and K-12 education networks, and promote work-life balance and wellness resources.

APPLICATION MATERIALS

Please note

Applications are reviewed on a rolling basis. For exceptional candidates, we will schedule interviews immediately.
All materials must be submitted in English.
Please submit the following in PDF format to xuemin_ias@fudan.edu.cn:

1. Cover Letter:

Please briefly tell us about yourself, your motivation for applying to Xuemin, your long-term ambitions, your research highlights, and how they align with Xuemin’s missions, and evidence of originality, creativity and impact.

Please also indicate your anticipated start date, any specific research needs or requirements, and any other information relevant or helpful for us to consider.

2. Curriculum Vitae:

Please include a list of your peer-reviewed publications, any major prize/award and patents. If you have been involved in start-ups or product development, you can include relevant information as well.

3. Research Statement (up to 5 pages, optional diagram):

Please summarize your past research, key fundamental questions you intend to pursue and novel technical foundations you might have, and future research plans. You can include a short movie if it helps explain your work.

4. Milestone Publications:

Please include up to five of your most significant publications (PDF copies).

5. Please include a list of at least five names for recommendation, together with their contact information.

For more Information:

Email: xuemin_ias@fudan.edu.cn

Website: www.xuemin.org

Xuemin Institute of Advanced Studies invites outstanding scholars at all levels from around the world to join us in shaping the future of science!

Xuemin Institute of Advanced Studies is an equal opportunity employer. We value diversity and strongly encourage applications from individuals from all identities and backgrounds. All materials will be kept confidential.

Candidater

[Autre] Faculty Positions in Chemical Biology, Westlake University à School of Life Sciences, Westlake University

Wed, 11 Mar 2026 17:53:06 +0100

Founded in 2018, Westlake University is a new type of research university in Hangzhou, China, supported by public and private funding. The Joint Chemical Biology Program of School of Life Sciences and School of Science at Westlake University is recruiting multiple faculty members in all ranks (Tenure-Track Assistant Professor, Associate Professor and Full Professor).

We are seeking outstanding scientists to lead vigorous independent research programs focusing on all aspects of chemical biology including, but not limited to, chemical proteomics, chemical genetics and epigenetics, chemical biology of glycoproteins and nucleic acids, protein post-translational modifications, and chemical microbiology. Competitive candidates should have a Ph.D., an outstanding record of research accomplishments, an innovative future research plan, an ability to achieve teaching excellence at both the undergraduate and graduate levels, and a commitment to fostering a diverse and inclusive community in the practice and teaching of science. Suitable candidates will hold academic appointment in both School of Life Sciences and School of Science. Successful candidates will be expected to establish a vibrant research program, teach graduate and undergraduate courses, and participate in university service and scholarly activities.

Westlake University has state-of-the-art core facilities and a stimulating academic environment that fosters interdisciplinary collaborations among researchers. Internationally competitive salary and startup package will be provided.

Applicants should submit:

1. Cover letter: rank of the position that you apply to, overview of the goals/vision of your research program, your most significant scientific accomplishments, a summary of experiences and qualifications that position you to achieve your goals.

2. Curriculum vitae: a complete list of publications should be included.

3. Statement of Current and Future Research (maximum of 4 pages).

4. For applicants of tenure-track assistant professor positions, 3 letters of reference should be arranged to be sent directly by referees.

All application materials must be prepared and submitted in English via: http://apply.interfolio.com/106037.

Completed applications will be reviewed on a rolling basis and will be accepted until the positions are filled.

Westlake University is an equal opportunity employer. We value diversity and welcome applicants from all identities and backgrounds.

Contact Information: sls_facultysearch@westlake.edu.cn

Candidater

[Stage] Étude multi-échelle de la pyrolyse des CSR : caractérisation des matières, influence du temps de séjour et optimisation catalytique à Étude multi-échelle de la pyrolyse des CSR : caractérisation des matières, influence du temps de séjour et optimisation catalytique

Wed, 26 Nov 2025 17:53:05 +0100

Matière à valoriser : Combustibles Solides de Récupération

Réacteurs utilisés : réacteur fermé (batch) vs. Réacteur à lit fluidisé

Etablissement : INSA Rouen France

Gratification : environ 640€ par mois

Durée : 5.5 mois

1) Contexte & objectifs

- Les CSR montrent une forte variabilité (plastiques, papiers/cartons, textiles, fraction fine, etc.) et un enjeu majeur de déchloration/qualité des produits.

- Comparer la pyrolyse en réacteur fermé et lit fluidisé éclaire l’effet du temps de séjour des vapeurs et de la température sur rendements, composition des gaz/huiles, et qualité du biochar.

- Des zéolithes (ex. HZSM-5 modifiée) sont pertinentes pour aromatisation/déchloration des huiles issues de CSR ¹.

Objectifs spécifiques

Recherche biblio : Cartographier la composition de CSR et leurs produits de pyrolyse (huiles/gaz/char)².
Caractérisation multi-techniques (ATG (proximate–ultimate), bombe calorimétrique, DRX, FTIR, SEM-EDS, porosité BET…).
Travail expérimental : Expérimenter en réacteur fermé et en lit fluidisé : prétraitements (dont déchloration), effets T et temps de séjour des vapeurs (VRT), et étude catalytique sur zéolithe modifiée.

2) Programme de travail

2.1. Recherche bibliographique (sem. 1–3)

CSR/SRF : définitions & classes (EN 15359), variabilité, contaminants (Cl, métaux) ; filières d’usage.
Prétraitements/déchloration (lavage, Ca(OH)₂, traitements thermiques) & catalyse zéolithique (HZSM-5, versions nano/hiérarchiques, dopages).
Produits de pyrolyse de CSR (techniques utilsiées (GC-MS,..), familles chimiques majeures, gaz légers, qualité des chars).
Réacteurs : identifier les réacteurs les plus utilisés pour le traitement de CSR
Conditions opératoires : Etudier l’effet du temps de séjour des vapeurs et la température du réacteur sur la distribution produite.

2.2. Caractérisation des échantillons (sem. 2–6)

Échantillons et analyses :

- ATG/DTG (N₂) 25-800 °C, 5°C/min → profils de dévolatilisation, paramètres cinétiques

- Proximate/ultimate (cendres, volatils, C-H-N-S-Cl), analyse des chlore & soluble.

- Morphologie/porosité : BET, SEM-EDS (impuretés, Cl-rich domains), DRX (carbonates/halogénures), FTIR.

2.3. Étude expérimentale (sem. 5–16)

Prétraitements (en fonction de la partie biblio)

1. Déchloration en amont (prétraitement du CSR)

- Lavage à l’eau ou eau alcaline (Ca(OH)₂, NaOH, NaHCO₃) : permet d’extraire une grande partie du chlore soluble (NaCl, KCl) avant pyrolyse → moins de chlore passe dans l’huile/charbon.

- Traitement thermique doux (200–300 °C) : volatilisation partielle du HCl lié au PVC avant pyrolyse principale.

Ces techniques ne déchlorent pas directement l’huile, mais réduisent fortement sa teneur en Cl à la source (Pour plus d’information, voir article Chen et al. (2022)³.

2. Déchloration in situ pendant pyrolyse

- Ajout de sorbants basiques (CaO, Ca(OH)₂, MgO, dolomie) dans le lit : fixation du chlore sous forme de CaCl₂/MgCl₂ solides, donc moins de chlore volatil vers l’huile.

- Vaporisation de l’HCl par une torrefaction (entre 200-300°C)

- Utiliser des catalyseurs zéolithiques (HZSM-5, dopée Ni/Zn) : favorisent la formation d’aromatiques légers, tout en réduisant la fraction chlorée dans les goudrons/huiles (pour plus d’information, voir article de Cueto et al.(2023)¹.

Travail expérimental

- Réacteur fermé (batch) :masse utilisée de l’ordre de 1-2g, débit d’azote environ 200mL/min, et température entre 450–650 °C

- Lit fluidisé (sable, Zéolithes, CaO, MgO...., 0.2–0.5 mm) : 1-2g/min, température entre 450–650 °C.

Tous ces paramètres sont à ajuster en fonction de la littérature (partie 1).

Analyses des produits

Gaz : micro-GC / GC-TCD-FID ; éventuellement FTIR (par sac d’échantillonnage).

Huiles : GC-MS + GC-FID (familles chimiques)....

Biochar : BET, SEM-EDS, DRX, FTIR, suivi Cl et métaux.

Références :

1. Cueto, J. et al. Upgrading of solid recovered fuel (SRF) by dechlorination and catalytic pyrolysis over nanocrystalline ZSM-5 zeolite. Chemosphere 339, 139784 (2023).

2. Gerassimidou, S., Velis, C. A., Williams, P. T. & Komilis, D. Characterisation and composition identification of waste-derived fuels obtained from municipal solid waste using thermogravimetry: A review. Waste Manag Res 38, 942–965 (2020).

3. Chen, Y.-C. & Tsai, Y.-C. Dry dechlorination of solid-derived fuels obtained from food waste and polyvinyl chloride. Science of The Total Environment 841, 156745 (2022).

Profil recherché :
Étudiant·e en Master 2 Génie des Procédés, Génie Chimique, ou équivalent ingénieur (5ᵉ année).

Candidater

[Contrat doctoral] DevSecMLOps: Security-by-Design for Trustworthy Machine Learning Pipelines à IRIT, Université de Toulouse

Sun, 21 Sep 2025 17:53:05 +0200

Context

Machine Learning Operations (MLOps) has become essential to managing the lifecycle of machine learning (ML) models, enabling continuous delivery, automation, and reproducibility. However, the rapid adoption of MLOps has advanced more quickly than the integration of robust security practices. Traditional software security practices—such as static analysis, dynamic scans, and vulnerability assessments—are well established, but ML pipelines present additional unique security concerns [1] [2]. For instance, ML systems face risks like adversarial attacks, model poisoning, training data compromise, drift, and injection attacks [3]. Additionally, privacy and compliance challenges—such as protecting personally identifiable information (PII) during data ingestion and model training—introduce further complexity that traditional security methods often overlook [4]. This suggests that machine learning models require security controls tailored to their lifecycle, from data collection to training, deployment, and monitoring. Current MLOps practices lack comprehensive built-in security mechanisms tailored to ML-specific risks and are fragmented: they either target specific threats, lack end-to-end traceability across the pipeline, or introduce prohibitive overhead that undermines the agility promised by MLOps. This has given rise to the emerging field of DevSecMLOps, which aims to extend the principles of DevSecOps [5, 6] to machine learning systems, ensuring both agility and security in AI-based applications.

The core problem is therefore the absence of a unified, systematic, and pipeline-wide approach to integrate security-by-design into MLOps pipelines. We lack frameworks that can:

Embed security requirements explicitly into ML workflows from the start,

Continuously enforce and monitor these requirements across all pipeline stages, and

Adapt to evolving threats without slowing down the pace of deployment.

Without such an approach, organizations risk deploying AI systems that are performant but fragile, exposing them to critical security and privacy breaches.

Objectives

The PhD will investigate the foundations and practical mechanisms of DevSecMLOps. The specifics of security in MLOps will mainly concern privacy. Users of ML-based solutions are legitimately concerned about the future of their data (e.g., where it is stored and who has access to it), and data anonymization is a key concern. The other facet of security (e.g., who is responsible in the event of a security problem?, how to ensure that ML models are robust against attacks and cannot be used maliciously) will also have to be taken into account. The research will focus on embedding security requirements directly into ML workflows, ensuring that threats such as data poisoning, adversarial manipulation, and privacy leakage are anticipated and mitigated early. It will also explore AI-driven automation to support continuous security checks, balancing the rigour of security with the agility of continuous delivery. The expected result is a methodological and technical framework that operationalizes security for ML pipelines, enabling organizations to deploy AI systems that are both performant and trustworthy.

Mission

The PhD candidate will conduct a comprehensive study of vulnerabilities across ML lifecycles, identify the security issues associated with current MLOPs practices, and analyze how existing DevSecOps principles can be extended to MLOps. The candidate will design security-by-design mechanisms tailored to ML workflows, from data ingestion and preprocessing to model training and deployment. These mechanisms should be developed, while acknowledging that those systems evolve rapidly. The candidate will also explore the use of machine learning for automating security checks, generating adversarial tests, and detecting pipeline anomalies. Finally, the proposed solutions will be validated through industrial case studies (from Softeam Group), demonstrating their effectiveness in mitigating threats while maintaining reproducibility and delivery speed.

References

[1] X. Zhang, ‘Conceptualizing, Applying and Evaluating SecMLOps: A Paradigm for Embedding Security into the ML Lifecycle’, Carleton University, 2025. Accessed: Sept. 08, 2025. [Online]. Available: https://hdl.handle.net/20.500.14718/43535

[2] B. Eken, S. Pallewatta, N. Tran, A. Tosun, and M. A. Babar, ‘A Multivocal Review of MLOps Practices, Challenges and Open Issues’, ACM Comput. Surv., July 2025, doi: 10.1145/3747346.

[3] Hinder, F., Vaquet, V., & Hammer, B. ‘Adversarial Attacks for Drift Detection’. 2024. Accessed: Sept. 08, 2025. [Online]. Available: https://arxiv.org/html/2411.16591v1

[4] S. Panchumarthi, ‘DevSecMLOps: A Security Framework for Machine Learning Pipelines’, Authorea Preprints. Accessed: Sept. 07, 2025. [Online]. Available: https://www.authorea.com/doi/full/10.36227/techrxiv.175037181.12992346?commit=6b759b374daa544b9579f507221f2da101c2a9f4

[5] Enoiu, E. P., Truscan, D., Sadovykh, A., & Mallouli, W. (2023, August). VeriDevOps software methodology: security verification and validation for DevOps practices. In Proceedings of the 18th International Conference on Availability, Reliability and Security (pp. 1-9).

[6] Nigmatullin, I., Sadovykh, A., Messe, N., Ebersold, S., & Bruel, J. M. (2022, April). RQCODE–Towards Object-Oriented Requirements in the Software Security Domain. In IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW 2022) (pp. 2-6). IEEE.

Profil recherché :
Master’s students or professionals with a Master’s degree Required skills: MLOps, software engineering, cybersecurity

Candidater