Profil Recherché

Titulaire d’un doctorat ou diplôme équivalent ou justifiant de titres et travaux scientifiques jugés équivalents par l’instance compétente de l’établissement. Il n’y a aucune condition d’âge ou de nationalité pour candidater. Tous les emplois CNRS sont accessibles aux personnes en situation de handicap en bénéficiant d’aménagement d’épreuves rendus nécessaires par la nature du handicap

Stratégie d'établissement

Artificial intelligence (AI) is both a field of research and an accelerator of scientific discovery in many fields provided that it promotes rapprochement with other scientific communities. The CNRS, as a national and multidisciplinary organization, advocates interdisciplinarity which is at the heart of this project. This involves adapting AI tools for the synthesis of polymers, an area in which few national teams have reached a level of expertise. This choice is in accordance with the orientations contained in the 2019-2023 Objectives and Performance Contract of the organization and also covers themes that the DIADEME exploratory PEPR seeks to develop and for which, the contribution of know-how from colleagues with international experience would be very useful.

Stratégie du laboratoire d'accueil

The four targeted laboratories (in alphabetical order: ICS, IMP, IPCM, LCPO have teams recognized in the field of polymer synthesis and soft matter modeling. For each of them, reinforce the theme covered by this project will contribute to ensuring France's visibility internationally in this area.

Stratégie Internationale

The scientific community in the field of polymer synthesis is quite active in France. It has developed expertise at the highest level in the use and improvement of traditional processes but remains a little behind international teams in the field of the use of modeling and/or data mining. The integration of the use of AI into synthesis strategy remains quite marginal to date even though it is developing internationally. Concentrating forces and increasing skills in the area addressed by this project requires not only appropriate training in universities, but also the recruitment of talented scientists already trained and experienced in this exercise. Recruiting a talented young researcher trained abroad is made easier by the CPJ system, which is attractive and will provide the laureate with a suitable environment to begin their project. This project should also make it possible to promote the networking of a national community which is small in number to date. Strengthening this theme, of national and European interest, should facilitate the creation of European networks in the field in the short term.

Répertoire national des structures de recherche (RNSR) du laboratoire d'accueil

199217356E ICS Institut Charles Sadron
198612058X LCPO Laboratoire de Chimie des Polymères Organiques
200711890Y IMP Ingénierie des Matériaux Polymères
200919210W IPCM Institut Parisien de Chimie Moléculaire

Résumé du projet scientifique

The design of new functional polymers relies on successful exploration of the structure-function landscape. In this context, advances in combinatorial polymer chemistry and machine learning offer interesting opportunities for the engineering of new polymer materials meeting pre-established specifications. The example of biology shows that starting from monomers with simple chemistry, it is possible to obtain functional macromolecules with desired properties. Much like proteins, synthetic polymers have countless combinations of monomers that can result in interesting properties. Given the great diversity of possible monomers, the complexity of polymer materials manifests itself in a combinatorial explosion, which makes rational design unthinkable when the number of different monomers exceeds a few units. Inspired by the recent success of DeepMind's AlphaFold2 in predicting protein structure using machine learning methods based on over 170,000 known protein structures, it is possible to imagine that polymer science will experience new growth by combining Artificial Intelligence and data mining methods and the creation of an experimental or digital database.

Résumé du projet d'enseignement

The research theme of this CNRS chair may be declined in the various universities targeted on the territory according to the place of recruitment. The laureate could in particular contribute to teaching in in synthesis and properties of polymers, modeling, data mining, at the bachelor's or master's level.

Environnement Financier

• Total financé (dont package ANR) : 200 k€
• Total du projet : k€

Diffusion scientifique

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.

Science ouverte

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 et société

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.

Indicateurs

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.

Modalités d'organisation des auditions

Seul(e)s seront convoqué(e)s aux auditions les candidat(e)s sélectionné(e)s sur dossier par la commission de sélection