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Holders of a doctorate or a PhD or equivalent degree or applicants who have gained scientific qualifications or carried out scientific work deemed to be of an equivalent level.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

Institution Strategy

Digital health is one of the French government's strategic priorities. This has led to the funding of a Priority Research and Equipment Programme (PEPR) for digital health, but also in the inclusion of computer science issues in various national health programs that have already been launched or are in the process of being brought to full development for example in the fields of mental health (PEPR ProPsy, co-supervised by the CNRS and Inserm), neurosciences and prevention. All these initiatives are highly interdisciplinary, involving close collaboration between researchers in life sciences and computer sciences, in interaction with clinicians.
These areas are also in line with the challenges identified by the CNRS in the cross-disciplinary “Brain” and “AI foundations” areas of its next priority objectives and resources contract (CNRS COMP).
For the CNRS, one of the challenges is to develop the use in its laboratories of the multiple potentialities offered by generative AI in the fields of biology and health, and to develop new fields of research in the computer sciences whose application developments will be adapted in particular to health-related use cases.

Host Lab Strategy

The CPJ GenAI-Psy aims to strengthen an interdisciplinary multi-team research project (PRIME) at the interface between UMR6033 SANPSY (CNRS-UB) and UMR5800 LABRI (CNRS-UB). The LABRI is a leading institute in artificial intelligence and digital health through two cross-disciplinary axes that bring together more than 80 researchers. SANPSY focuses specifically on sleep, sleepiness, addiction and neuropsychiatric diseases, and how they can be monitored using digital tools. For several years now, LABRI and SANPSY have been working closely together to develop conversational agents for health. The aim is to jointly develop multi-agent approaches based on generative AI and large language models (LLM), apply them to medical problems, and validate them in use cases such as the creation of analysis tools to help diagnose and manage pathologies, and the design of predictive models of their evolution.

International Strategy

The successful candidate will be expected to implement actions and partnerships in the thematic field of the Chair, and in particular to submit a project in response to European calls for proposals (ERC, Horizon Europe Consortium, European Partnership Brain Health, etc.) during the first 4 years of his/her contract.

National Directory of Research Structures (RNSR) of the host laboratory

SANPSY - Sommeil, Addiction et Neuropsychiatrie - (UMR6033)201119462L
LaBRI Laboratoire Bordelais de Recherche en Informatique - (UMR5800)199511665F

Summary of the scientific project

The project will be part of the joint LABRI-PRIME and SANPSY team. The aim is to develop and validate multi-agent approaches based on large language models (LLMs), applied to medical problems such as the creation of diagnostic tools based on linguistic data and pathology management, the generation of interactive scenarios run by conversational agents, the analysis of health data corpus and the design of predictive models for the evolution of disorders. One challenge will be to ensure the robustness of LLMs to enable their use in complex and unpredictable human behavior disorders, to ensure the reliability of models in clinical environments, and to participate in their validation with patients. The project of the laureate, while firmly embedded in computer science, will therefore have to be based on use cases developed in collaboration with the site's clinicians.

Summary of the teaching project

The successful candidate will join the teaching teams at the University of Bordeaux. On the one hand, he/she will be able to contribute to the teaching of artificial intelligence, in particular its application to health and neuroscience. He/she will also be able to contribute to medical training on textual data analysis in healthcare and training in Neuropsychiatry.

Financial Environment

• Total (included package ANR) : 200 k€
• Total financement : k€

Scientific dissemination

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.

Open Science

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.

Science and society

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.

Indicators

The activity will be evaluated in particular on the basis of scientific production (publications, software, patents, etc.), on institutional and private partnerships formalized by contracts, on international presence, on the promotion of work to multidisciplinary scientific communities, on innovation and its transfer to society and on scientific dissemination to non-specialist audiences.

Methods of organization of the interviews

Only the candidates selected on file by the selection committee will be invited to the auditions.