the CNRS COMP concerns generative AI for science. This Junior Professor Chair is fully aligned with this initiative. It will enable the CNRS to position itself in a high-potential and crucial field concerning the evolution of research in mathematics.
For this CPJ, we are targeting the Lyon ecosystem, which is particularly interested in proof theory in both mathematics and computer science. LIP, and more specifically the PLUME team, together with ICJ, are at the heart of these issues in formal verification and will be natural hosts for the CPJ.
Proof assistants (Rocq/Coq, Lean) make it possible to certify mathematical results with absolute rigor. Milestones such as Gonthier's proof of the four-color theorem illustrate their power. Their historical limitation lies in the considerable human effort required to translate a mathematical proof into a formal script, thereby hindering scalability.
Recent progress in generative AI is changing the landscape: models trained on corpora of formal proofs can now generate and explore proofs in a largely autonomous manner. A decisive advantage of this paradigm is the intrinsic verifiability of the proofs produced - their validity is mechanically certified, without external expertise, thereby removing the usual doubts about the reliability of AI outputs.
Developing effective models for this task requires expertise at the intersection of proof assistants, language-model architectures, and mathematics.
The teaching project will be discussed with the site.
The CNRS is developing a strong policy in favor of open science. Open science consists of making research results "as accessible as possible and closed as necessary". As such, the CNRS aims to make 100% of the texts of publications resulting from the work of its laboratories accessible , in particular through deposit in HAL. The data produced must also be made available and reusable, except for specific restrictions. In addition, the guiding principles of individual evaluation have been revised in accordance with the DORA declaration, to be more qualitative and to take into account all facets of the researcher's profession.
The dissemination of the results will be done through world-class scientific productions: publications, patents, software... In addition, the results will be communicated to various targets such as scientific communities, media, decision makers, general public, schools, etc., with an adapted calendar. Specific tools may be developed such as websites, newsletters, meetings, international symposia, summer schools and conferences.
The relationship between science and society is now recognized as a full dimension of scientific activity. The project will develop this dimension in synergy with all the partners. The resulting research work will contribute to informing public decision-making. Participatory science initiatives may be initiated with actors from the project's socio-economic and cultural eco-system.
Where to apply
Website: https://emploi.cnrs.fr/Offres/CPJ/CPJ-2026-036/Default.aspx
Requirements
- Research Field: Mathematics
- Education Level: PhD or equivalent
- Research Field: History
- Education Level: PhD or equivalent
- Languages: FRENCH
- Level: Basic
- Research Field: Mathematics
- Years of Research Experience: None
- Research Field: History » History of science
- Years of Research Experience: None
Additional Information
Eligibility criteria
holders of a doctorate or a PhD or equivalent degree or applicants who have gained scientific. There is no restriction on the age or nationality of applicants. All CNRS positions are accessible to people with disabilities, with special arrangements for tests made necessary by the nature of the disability.
Website for additional job details: https://emploi.cnrs.fr/Offres/CPJ/CPJ-2026-036/Default.aspx
Work Location(s)
Number of offers available: 1
Company/Institute: Direction des ressources humaines
Country: France
