CentraleSupélec is a leading French 'Grande École' and a public research university. It operates under the joint authority of the Ministry of Higher Education and Research and the Ministry of Industry. Its core missions include educating high-level global and specialised engineers, Bachelor’s and Master of Sciences, conducting cutting-edge research in engineering and systems sciences, and providing continuing professional education programs. As part of its development in teaching and research, strongly shaped by structured international collaborations, CentraleSupélec is opening a Full Professor position in Mathematics. The selected candidate will be affiliated with the Department of Mathematics and will conduct research within either the CVN laboratory (Center for Visual Computing) or MICS (Mathematics and Computer Science for Complexity and Systems).

The Department of Mathematics is responsible for teaching a broad range of disciplines across various programs: engineering curriculum, international bachelor’s programs, master’s programs in Mathematics and Applications at Université Paris-Saclay, specialized master’s degrees in Data Science and Artificial Intelligence, as well as CentraleSupélec’s continuing education programs.

The CVN (Center for Visual Computing) is a CentraleSupélec laboratory associated with an Inria research team. Its main research focus is the design of advanced optimization methods for analyzing large volumes of complex data, in the context of inverse problems and learning, with particular emphasis on biomedical imaging data. Its activities are structured around three themes: (i) high-dimensional optimization algorithms, (ii) graph data mining, (iii) neural networks.

The MICS laboratory (Mathematics and Computer Science for System Complexity) specializes in mathematical modeling, artificial intelligence, and complex data analysis, and is particularly distinguished by its interdisciplinary work at the interface of computer science, applied mathematics, and engineering sciences. MICS conducts research with strong societal impact in statistical learning, financial mathematics, partial differential equations, and formal reasoning. Researchers from both CVN and MICS are also members of the CNRS Mathematics Federation of CentraleSupélec. In this context, the recruited candidate will develop high-level research activity in applied mathematics and teaching activity aligned with the core missions of the Mathematics Department.

Teaching responsabilities

The selected candidate will join the Department of Mathematics at CentraleSupélec.

They are expected to be significantly involved in teaching mathematics in international bachelor’s programs, both existing and under development, which link CentraleSupélec with leading foreign universities (see: https://www.centralesupelec.fr/bachelors).

They will also join the teams responsible for first-year core mathematics courses in the engineering curriculum (measure theory, probability, partial differential equations, statistics, and machine learning). They will also contribute to teaching in optimization, graph data mining, and computer vision/image processing within the engineering program, master’s programs (such as MSc DBSA or MSc AI), and continuing education.

Additionally, they may participate in various pedagogical activities related to their research (research-track projects, case studies, etc.).

Given the international nature of CentraleSupélec’s students, some courses will be taught in English.

Research responsabilities

The recruited candidate will join either CVN or MICS. A major focus of these research units is the design and analysis of fundamental mathematical tools for artificial intelligence. These include optimization methods, variational approaches for data science, inverse problem solving, and Bayesian statistical inference. Recent results have highlighted strong interactions between these tools and data-driven approaches (physics-informed neural networks, plug-and-play methods, unrolled algorithms, diffusion-based generative models, etc.).

Candidates are expected to have the ability to initiate and develop research in at least one of the main themes of CVN or MICS.

They must also demonstrate the ability to collaborate and lead high-visibility research activities, including supervising master’s and PhD students. Furthermore, they are encouraged to establish strong academic and industrial partnerships at both national and international levels.

Research areas: optimization, variational methods in data science, inverse problems, Bayesian statistics.

Candidates with previous experience where such diplomas exist must hold an "Habilitation à Diriger des Recherches" in Applied Mathematics or Signal and Image Processing (or equivalent qualification)

They must demonstrate their research abilities, as evidenced by: i) their publication record in major selective conferences and leading international journals, ii) their contribution to the design and execution of research projects, and iii) the volume and quality of their doctoral supervision.

They must be capable of engaging in core mathematics courses for students from diverse backgrounds, including those from the French grandes écoles preparatory classes or leading foreign universities. 

A strong preference for teamwork is desirable.

They are also expected to be involved in coordinating research activities related to the themes of the CVN and MICS laboratories, and in the resulting interactions, in line with the School's strategic priorities (sovereignty, health, environment).

Application process

Applications must be submitted by email to the following email address:

drh.pole-enseignant@centralesupelec.fr

The deadline for submission is June, 30th 2026 at 11:59 PM (Paris time). Please include the reference EC10_MATH_PR in the email subject line. The electronic application must include the following PDF files: 

•        A cover letter 

•        A detailed CV containing teaching experience, research, mobility, publications, etc. 

•        A 5 to 10-page research and teaching project that meets the requirements of CentraleSupélec  

•        A copy of the identity card or passport 

•        A copy of the doctoral degree   

•        Thesis and/or Habilitation defense reports, if they exist, or any equivalent documents.

•        Letters of recommendation (optional) 

•        Any other documents proving the experience 

Interview process

Shortlisted candidates will be invited to an interview, which consists of three stages, allowing us to assess your suitability for the position: 

1.      Candidates will present their academic background and their teaching and research project. 

2.      Each candidate will demonstrate their teaching skills by presenting a lesson in English, addressing a common problem specified in the audition invitation.  

3.      Candidates will then respond to questions from the committee members. 

The interview invitations will state the duration for each stage.

Scientific contacts

Jean-Christophe Pesquet, Head of CVN, jean-christophe.pesquet@centralesupelec.fr

Céline Hudelot, Head of MICS, celine.hudelot@centralesupelec.fr

Gilles Faÿ, Head of Mathematics Department, gilles.fay@centralesupelec.fr