Informations générales
Intitulé de l'offre : M/F Computational Biology for Multiscale Modeling of Microbial Ecosystems (H/F)
Acronyme : MicroMod
Référence : CPJ-2025-009
Établissement porteur : Centre national de la recherche scientifique
Nom du chef d’établissement : Antoine PETIT
Site(s) concerné(s) : EVRY-VAL-D'ESSONNE
Région(s) académique(s) : Région académique Île-de-France.
Etablissement(s) partenaire(s) envisagé(s) : UNIV EVRY-VAL-D'ESSONNE
Code(s) établissement(s) :
Date de publication :
mardi 20 mai 2025
Type de contrat :
Chaire de professeur Junior
Durée du contrat : between 3 and 6 years depending on the research project and the profile of the scientist
Quotité de travail :
Complet
Rémunération :
Annual salary from 54 600 Euros to 57 800 Euros depending on professionnal experience.
Thématique scientifique : Biology and health
Section(s) CN :
21 - Organisation, expression, évolution des génomes
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
The CNRS brings both its expertise and its coordination capacity to major national research programs. In this context, this Junior Professor Chair (JPC) aims to model biological functions using big data generated by high-impact initiatives such as Tara Oceans and ATLAsea. This JPC is part of a broader series spanning the period 2023-2027, during which the CNRS and its partners strive to enhance their ability to manage heterogeneous and multi-scale data in the field of "omics".
Stratégie du laboratoire d'accueil
The laboratory explores genomic and functional biodiversity through the study of organism consortia from diverse environments, while striving to elucidate the functions of unknown genes using approaches that combine genomics and experimental validation. This research opens new horizons in biotechnology, particularly in biocatalysis and synthetic biology, by harnessing the chemical capabilities of living organisms. In a sustainable development approach, the unit develops biological solutions to promote green chemistry and reduce the environmental impact of industrial chemistry.
Stratégie Internationale
The CNRS welcomes and recruits a large number of international researchers. More than 30% of those recruited come from abroad. This recruitment will have the same ambition.
Répertoire national des structures de recherche (RNSR) du laboratoire d'accueil
GM Génomique Métabolique-UMR8030200012703M
Résumé du projet scientifique
Recent advances in computational modeling and artificial intelligence are opening new avenues for addressing major questions in biology. These include the relationships between protein sequences, structures, and functions, as well as the dynamics of microbial communities and their adaptation to their environment. This CPJ (Junior Professor Chair) in computational biology, focused on modeling and machine learning, will help strengthen these research areas.
The goal will be to develop powerful predictive models capable of integrating multiple scales, from the biological functions of proteins to complex interactions within an organism (e.g., metabolism) or an ecosystem. Drawing on a synergy of interdisciplinary expertise, this research will be enhanced by large-scale data generated through national projects such as Tara Oceans and ATLAsea, as well as high-throughput screening, which is one of the key areas of expertise of the UMR8030 teams
Résumé du projet d'enseignement
The goal is to train students in the use of computational modeling and artificial intelligence tools to address fundamental and applied questions in biology. This program aims at developing skills in the analysis of large-scale data, multi-scale predictive modeling, and machine learning applied to complex biological systems. It is intended for Master's or PhD-level students in biology, bioinformatics, data science, or genomics, with a strong interest in approaches that integrate mathematics and biology.
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