Forum emploi SFP

[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] 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

[Contrat doctoral] From Multi-Scale Modeling of Zoonotic Infections in Poultry Farms to Early Warning and Hierarchical Control of Avian Influenza in the French Antilles à Université des ANTILLES

Fri, 29 May 2026 17:53:06 +0200

This PhD thesis focuses on the development of mathematical and computational approaches for the early detection and control of avian influenza in poultry farming systems in the French Antilles. The project will build on a multi-scale modeling framework combining within-host infection dynamics, within-farm transmission, and territorial spread between farms. The objective is to design early-warning tools based on heterogeneous data, including farm typology and sensor-derived indicators, and to study targeted intervention strategies capable of limiting epidemic amplification. By combining epidemic modeling, state estimation, spatial dynamics, and control theory, the thesis aims to contribute to a regional decision-support framework for the surveillance and management of zoonotic risks.

For more information about the TALEDZ project, please consult:
https://taledz.univ-antilles.fr/pages/homepage.html

For any questions or applications, please contact:

Profil recherché :
The candidate should hold a Master’s degree in Applied Mathematics, Control Theory, Computational Biology, Spatial Epidemiology, or a related field. They should have strong quantitative skills, a solid background in at least one area such as dynamical systems, spatial modeling, deterministic state estimation, or optimal control, and good programming abilities in Python or MATLAB. The ideal candidate will be motivated, autonomous, and interested in multidisciplinary research at the interface of mathematics, epidemiology, data analysis, and animal health

Candidater

[Stage] Parametric Environmental and Economic Assessment (LCA – TEA) of End-of-Life Pathways for Biodegradable Food Packaging à UMR SayFood, Université Paris Saclay, INRAE, AgroParisTech

Fri, 29 May 2026 17:53:06 +0200

Context :

The transition towards a sustainable food system requires rethinking the packaging of perishable food products. These packages face a threefold challenge:

Technical performance: Ensuring the optimal protection and preservation of the food.
Eco-responsibility: Eliminating plastic pollution by guaranteeing an end-of-life stage with no environmental impact.
Economic viability: Maintaining a competitive production cost so as not to affect the final price of the food product.

Modified Atmosphere Packaging, or MAP, is a key technology for extending the shelf life of perishable foods and reducing food waste. However, designing sustainable MAP packaging represents a highly complex systemic challenge. Improving technical performance(physical/chemical) in order to guarantee barrier properties, has a direct impact on end-of-life management, which may compromise the system’s economic viability or eco-responsibility. For example, maximizing the barrier effect by making the material more complex can drastically increase the cost and feasibility challenges of recycling it.

For this reason, it is crucial to integrate the end-of-life treatment of these packages in the design phase. Several end-of-life scenarios coexist, each offering distinct advantages, including industrial composting, anaerobic digestion, chemical recycling using supercritical CO₂, and incineration. However, choosing between these different pathways is complex. This decision requires the development of dynamic environmental and economic indicators coupled with the packaging design variables, in order to identify the optimal pathway for each case study. Life Cycle Assessment (LCA), and Techno-Economic Analysis (TEA), can provide elements of response to this challenge.

The intern’s objective will be to formalize the end-of-life treatment system for these packages in the form of a coupled semi-parametric LCA-TEA model. Unlike classical and static assessment approaches, this model must directly integrate the key design variables of MAP packaging, such as the thickness of the packaging matrix, the formulation and proportion of the barrier layer, or the packaging volume. Thus, any modification of the physical parameters of the packaging will be reflected instantly and dynamically in the environmental impact and cost indicators of each end-of-life pathway.

Internship Objectives :

Use digital tools to develop a coupled parametric LCA-TEA model, meaning Life Cycle Assessment and Techno-Economic Analysis, to evaluate the environmental viability and economic profitability of the three selected end-of-life pathways, while integrating the design variables of biodegradable MAP food packaging based on PLA and comparing them with a conventional solution.

Activities to be realized :

The work will consist of several tasks organized into three main pillars :

1. Data and Inventory :

Identify the available information on the possible end-of-life pathways for these packages in order to establish the scenarios to be evaluated.
Collect and integrate the technical, environmental, and financial data of the treatment scenarios.

2. Parametric Model Development :

Develop mathematical correlations between environmental and economic impacts using the collected data.
Build the LCA model using the Brightway2 tool, either with the “Activity Browser” interface or directly in Python, based on the established correlations.
Build the TEA model using a spreadsheet or directly in Python, based on the established correlations and on CAPEX, meaning equipment investment, and OPEX, meaning energy, labor, and maintenance.

3. Interpretation and Analysis :

Interpret the results in order to establish the preferred end-of-life scenarios for the different evaluated cases.
Carry out a sensitivity analysis to identify the most impactful and important design variables in the system.
Identify “hotspots,” meaning critical points where a small technical improvement can drastically reduce impacts or costs.

Profil recherché :
Desired Profile : Background in data science and modeling, applied mathematics or computer science, engineering sciences, process engineering, environmental engineering, or industrial engineering. Master’s level, M2 or final-year engineering student. Skills in programming, mathematical modeling, and data analysis. Knowledge of Python for data handling and digital tool development would be highly appreciated. Good level of English. Interest in bioprocesses, circularity, and waste management systems. Autonomy, organizational skills, and communication skills. Internship Conditions : The internship will be supervised by Felipe Buendia, INRAE researcher, at the UMR SayFood research unit, INRAE, AgroParisTech, Université Paris-Saclay, located on the AgroParisSaclay campus in Palaiseau, Île-de-France. Duration : 5 to 6 months Travel : Not planned Stipend : 4,05 € per hour (~ 600€/month, depending on the number of days worked) Transport : 50% reimbursement of the Île-de-France “Pass Navigo” transport pass Meals : CROUS restaurant nearby and kitchen area available, including refrigerator and microwave Housing : Student housing available on site, to be arranged by the student. More information: https://www.universite-paris-saclay.fr/vie-de-campus/logement Applications : Send a CV, maximum 2 pages, and a cover letter to Felipe BUENDIA (felipe.buendia@inrae.fr) and Ali FARHAT (ali.farhat@inrae.fr)

Candidater

[Contrat doctoral] De l’orge au malt torréfié : comprendre et modéliser la formation des arômes et de la couleur à Soufflet Malt

Fri, 29 May 2026 17:53:06 +0200

L’objectif général de cette étude est de mieux comprendre et modéliser les transformations physiques et chimiques intervenant au cours de la torréfaction du malt, à l’échelle d’un grain, afin de proposer des leviers de pilotage permettant de maîtriser la formation de la couleur et des arômes. Plus spécifiquement, les objectifs scientifiques sont les suivants :

· Caractériser les transferts de chaleur et d’eau au sein du grain, en particulier la diffusion thermique et les évolutions de la teneur en eau, afin de mieux comprendre leur influence sur les cinétiques réactionnelles.

· Identifier les principaux précurseurs et produits de réaction impliqués dans la formation des arômes et de la couleur, et analyser leur dépendance aux conditions opératoires, notamment la teneur en eau et la température.

· Proposer une description simplifiée des schémas réactionnels chimiques et thermiques, reliant les sucres, les acides aminés, les mélanoïdines, les composés aromatiques et les composés indésirables tels que l’acrylamide.

· Identifier des indicateurs pertinents pour le pilotage du procédé, tels que la couleur, la température du grain ou des méthodes spectroscopiques (NIR, MIR, fluorescence, voire RMN), permettant de définir des critères d’arrêt et d’optimiser les conditions de torréfaction.

Ces travaux visent à dépasser une approche empirique du procédé pour aller vers une maîtrise scientifique, permettant d’améliorer la reproductibilité, la qualité sensorielle et la sécurité des produits.

Profil recherché :
Nous recherchons un(e) candidat(e) titulaire d’un diplôme d’ingénieur ou d’un Master 2 dans les domaines de l’agroalimentaire, de la chimie, du génie des procédés ou des sciences des données. Vous manifestez un intérêt marqué pour la biochimie, la modélisation, l’analyse de données et les problématiques industrielles. Curieux(se), rigoureux(se) et autonome, vous souhaitez vous investir dans un projet de recherche appliquée, au croisement entre science et industrie, au sein d’un environnement stimulant.

Candidater

[Contrat doctoral] Development of methods for cryo-EM image analysis and protein docking to elucidate binder-induced conformational changes (PhD cotutelle with the University of Melbourne) à Sorbonne University, IMPMC-UMR 7590

Fri, 29 May 2026 17:53:05 +0200

This PhD project aims to develop advanced software solutions for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural states. The new tools will be validated through their application to VCP/p97 data, a key protein that plays a central role in cellular homeostasis by extracting and unfolding damaged or unwanted proteins for their degradation [1]. The project will build on the image analysis software MDSPACE, which produces detailed maps of the conformational states of biomolecular complexes from cryo-EM images [2,3].

MDSPACE will be used to obtain a detailed map of the conformational states of VCP/p97, induced by nucleotide binding and miniprotein engagement. In parallel, a new docking software, MDSPACEdock, will be developed to enable rapid docking of potential ligands across the full conformational ensemble obtained by MDSPACE, rather than a single static structure. This multi-state docking approach will be based on a scoring function combining shape complementarity and approximate binding free energy in order to rank binding candidates while accounting for structural flexibility. By applying MDSPACEdock to wild-type VCP/p97 conformations obtained by MDSPACE from cryo-EM images, the project will identify the main binding candidates as well as their preferred binding conformations, thereby providing mechanistic insight into ligand–VCP recognition.

More broadly, the project will deliver computational tools and workflows for biomolecular conformational analysis from cryo-EM integrated with ligand selection, which will be applicable to other dynamic protein complexes.

References:

[1] Valimehr S, Sethi A, Shukla M, Bhattacharyya S, Kazemi M, Rouiller I. Molecular Mechanisms Driving and Regulating the AAA+ ATPase VCP/p97, an Important Therapeutic Target for Treating Cancer, Neurological and Infectious Diseases. Biomolecules 2023; 13: 737. https://doi.org/10.3390/biom13050737

[2] Vuillemot R, Mirzaei A, Harastani M, Hamitouche I, Frechin L, Klaholz BP, Miyashita O, Tama F, Rouiller I, Jonic S. MDSPACE: Extracting Continuous Conformational Landscapes from Cryo-EM Single Particle Datasets Using 3D-to-2D Flexible Fitting based on Molecular Dynamics Simulation. J Mol Biol. 2023;435:167951. https://hal.science/hal-03929029

[3] Valimehr S, Vuillemot R, Kazemi M, Jonic S, Rouiller I. Analysis of the Conformational Landscape of the N-Domains of the AAA ATPase p97: Disentangling the Continuous Conformational Variability in Partially Symmetrical Complexes. Int J Mol Sci. 2024;25. https://hal.science/hal-04519643

Profil recherché :
Requirements: Master 2 in computer science, bioinformatics, biophysics, or a related field Strong theoretical foundations and practical skills in at least two of the following areas: AI/ML, image processing, molecular modeling and docking Strong experience in Python and C++ programming (knowledge of Fortran is a plus) Strong interest in interdisciplinary research bridging computer science, physics, and biology Excellent oral and written communication skills Strong organizational skills, autonomy, and efficiency Commitment to quality and rigor in work Analytical and conceptual skills Good interpersonal skills and team spirit Availability for a one-year stay at the University of Melbourne (second year of the PhD) Candidates must meet the PhD admission requirements of both universities: Sorbonne University and the University of Melbourne. University of Melbourne entry requirements: First Class Honours (H1) or equivalent (~80%; excellent Master 2, top 10%), and English language requirements.

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] 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] Max Planck-Weizmann Postdoctoral Programme à Max Planck Society

Tue, 12 May 2026 17:53:16 +0200

The sixth application round for the German-Israeli Max Planck-Weizmann Postdoctoral Programme will end on 1st July 2026

The Max Planck Society (MPG) and the Weizmann Institute of Science (WIS) jointly offer outstanding postdoctoral researchers in the fields of life sciences, natural sciences and social and human sciences a prestigious four-year appointment in a unique research environment.

Max Planck-Weizmann Postdoctoral Programme

About the programme

The cooperation between the MPG and the WIS offers talented researchers the opportunity to participate in innovative projects, benefit from the expertise of two renowned institutions and contribute to the advancement of knowledge in their respective subjects. The German-Israeli Max Planck-Weizmann Postdoctoral Programme thus supports scientific cooperation and interdisciplinary research in both countries.

Highlights of the programme

Duration: The Max Planck-Weizmann Postdoctoral Programme is designed for four years, with half of the time spent at the MPG and half at the WIS. The recommended time distribution between the institutes should not be less than one year. In exceptional cases, a shorter period at one institution may be considered, provided there is scientific justification and upon the committee's approval. The country split allows the postdocs to benefit from the expertise and resources of both institutions and to gain a comprehensive and broad research experience. Over four years, the postdocs will be able to conduct in-depth research and complex experiments, and thus publish relevant contributions in their respective fields.

Position: The selected candidates will receive a four-year appointment, which will allow them to fully concentrate on their research projects. The employment contracts are concluded according to German guidelines and take into account the postdoc's level of experience. Successful candidates will be assigned to pay grade 13 of the TVöD (German Public Sector Collective Agreement), subject to meeting the applicable personal and contractual requirements.

The individual levels are as follows:

Level 2: 67,311.33 € per year

Level 3: 72,800.84 € per year

In exceptional cases, it may be possible to enter at level 1 (62,489.15 € per year), depending on the candidate's previous work experience.

Global Research Collaboration: The selected postdocs have the opportunity to collaborate with leading scientists of the MPG and the WIS. This programme fosters a global research network that promotes the exchange of ideas, expertise and diverse perspectives.

Travel and conference funds: Scientific networking and dissemination of research results are important. Under the programme, postdocs receive up to 3000 euros per year for conferences, workshops and seminars that enable them to present their work, exchange ideas with peers and make important professional contacts.

Full benefits package: the selected postdoctoral fellows will receive a full benefits package including relocation expenses, health, nursing, pension and unemployment insurance, as well as access to institutional resources and state-of-the-art research facilities.

Housing allowance: Employees are eligible for a housing allowance during their stay at WIS in Israel.

Application process

Applicants for the joint MPG-WIS postdoctoral programme should note the following:

The PhD degree or doctorate should have been obtained no more than 4 years ago.
Contact researchers at the MPG (participating Max Planck Institutes from the Biological and Medical Section [BMS], the Human Sciences Section [HSS], and the Chemistry, Physics and Technology Section [CPTS]) and the active project in which researchers from both institutions can serve as joint hosts.
Submit a detailed CV including your academic background, research experience, list of publications, awards and other relevant information on your research area.
Each application requires at least three letters of recommendation (one of which should come from the doctoral supervisor, if possible). These letters should be from people who are familiar with your research and can assess your potential as a postdoctoral researcher in your field.
Letters of support from the MPG and WIS guest scientists (this can be a joint letter), including assurance of co-financing by the institute for the duration of the stay at the MPI. The position of the Postdoc will be financed 50 percent by central funds for the time at the MPI, the other half should be financed by institute funds.
Project outline explaining the research project and its collaborative nature between MPG and WIS (limited to two pages).
A statement of the planned division between the institutes (MPG and WIS) for the duration of the four years. This should indicate at which institute (MPG or WIS) you will start your four-year assignment.

After you have completed the questionnaire and clicked on "Submit Application", you will receive an email confirming your application. Please note: This email also contains links for each of the reviewers you have indicated. You can send each reviewer his/her own link with which he/she can access the system and submit the letter of recommendation.

Deadline: 1st July, 2026

Online application form: redirect to the WIS application form

Apply now

For enquiries and support regarding the joint MPG and WIS postdoc programme, please contact our programme coordinator, Ms Stefanie Gottschalk.

Ms Gottschalk is your main contact and will advise you throughout the application process and during your participation in the programme.

You can reach her as follows:

Email: postdoc@gv.mpg.de
Phone: +49 89 2108‑1490

Join us in shaping the future through boundless scientific exploration!

Candidater

[Autre] MPG-WIS Joint Postdoctoral Program à Weizmann Institute of Science

Fri, 24 Apr 2026 17:53:10 +0200

The Max Planck Society (MPG) (https://www.mpg.de/en) and the Weizmann Institute of Science (WIS) (https://www.weizmann.ac.il/pages/) are thrilled to announce a prestigious opportunity for outstanding postdoctoral researchers in the fields of Physics, Chemistry, Mathematics, Computer Science and Earth Science and Life Sciences.

This collaborative program offers a comprehensive four-year position in a unique research environment.

About The Program

MPG, based in Germany, and WIS, located in Israel, have joined forces to offer an exceptional postdoctoral program that promotes scientific collaboration and fosters interdisciplinary research. This program provides an outstanding opportunity for talented researchers to engage in cutting-edge projects, benefit from the expertise of two world-renowned institutions, and contribute to advancing knowledge in their respective fields.

Program Highlights

Duration: Our joint postdoctoral program has a duration of four years, with an equal distribution of time between MPG and WIS. This unique structure allows postdoctoral fellows to benefit from the expertise and resources available at both institutions, fostering a rich and diverse research experience by ensuring dedicated time for in-depth exploration, comprehensive experimentation and significant contributions to their respective fields.
Eligibility Criteria:
- Applicants must start the program within 4 years of their PhD graduation
- Current WIS postdocs are eligible to apply, but must commence the program before the end of their first year at WIS
- Commencement into the program is contingent upon PhD thesis submission
Fellowships: During their time at MPG, postdocs positions are according to the German regulations and guidelines, and based on the experience level (German level 2 or level 3).
Specific annual taxable salary levels are €62,822 for level 2 and €67,946 for level 3.
This includes benefits such as health insurance, nursing care insurance, vacation days, pension insurance, and unemployment insurance.

During their time at WIS, postdocs will receive an untaxed fellowship of 212,088 NIS annually for level 2 and 220,920 NIS annually for level 3.
* Postdoctoral fellows in Israel are exempt from taxes.
In addition, at WIS, Postdocs will receive full family health insurance, nursing care subsidy, vacation days, relocation expenses and subsidized housing.

Global Research Collaboration: Fellows will have the opportunity to collaborate with leading scientists from both MPG and WIS. This program promotes a global research network, facilitating the exchange of ideas, expertise and diverse perspectives.
Independent Travel Support: We understand the importance of scientific networking and dissemination of research findings. As part of this program, fellows will receive up to 3000 Euros per year for conferences, workshops and seminars, enabling them to present their work, engage with peers, and establish valuable professional connections.

Application Process

To apply for the MPG-WIS Joint Postdoctoral Program, please follow the application guidelines below:

Contact researchers at MPG (see list of institutions) and at WIS, to discuss potential collaborative projects for which the researchers from both institutions can serve as joint hosts.
Provide a detailed CV highlighting your academic background, research experience, list of publications, list of invited talks, awards, and any other relevant information specific to your field of research.
Arrange for at least three letters of recommendation (one should be from the PhD advisor). These letters should come from individuals familiar with your research work and can assess your potential as a postdoctoral researcher in your specific field.
Support letters from the MPG and WIS host researchers (can be a joint letter).
Please note: as at each institute the costs are split between the institute and the PI, the PIs should declare that they have available funds to support the candidate.
A Research statement explaining the project and its collaborative nature between the MPG and WIS (Length: up to 2 pages, Margins: 2 cm, Font size: 11 pt)
A statement about the planned split between the institutes (MPG and WIS) for the duration of the 4 years. This should indicate at which institute (MPG or WIS) you will begin your four-year position. The four years should be split equally between the institutions. Several transfers are allowed, but generally not for a duration of less than a year. This plan should be based on scientific justification given the expertise and infrastructure at both institutions. This plan can be changed during the program upon the program committee approval.
Upon completing the session and clicking the “Submit Application” button, you will receive an email verifying your application. Please note: this email also contains unique links for each of the referees you have listed. You may send each referee their unique link, which will allow them to access the system and submit their letter of recommendation.

For inquiries and assistance regarding the joint postdoctoral program offered by the MPG and WIS, please reach out to our program coordinator, Ms. Livnat Moses.
Livnat will be your main point of contact and will provide guidance throughout the application process and during your participation in the program.
You can contact the program coordinator via the following channels:

postdoc@weizmann.ac.il

+972-8-9343842

Application Deadline:

Application Deadline:

1 July 2026, for positions starting between September 2026 and March 2027.

For more info and to apply:

https://bit.ly/mpg-wis-sj2026

Candidater

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

Wed, 15 Apr 2026 17:53:13 +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] Faculty Positions in Westlake University à Westlake University

Wed, 08 Apr 2026 17:53:10 +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] 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

[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