Job offer

European Commission; France; Sur place; EUR 30 000 - 45 000; Plein temps

Résumé du poste

Le CNRS recherche un chercheur spécialisé en informatique pour un projet multidisciplinaire. Ce rôle implique de développer des algorithmes sur des défis biologiques, collaborer avec divers laboratoires et enseigner les interfaces entre l'informatique, la biologie et la santé. Le projet vise à promouvoir une science ouverte et un impact sociétal, avec des responsabilités de publication et d'engagement public.

Qualifications

• Doctorat, pas de restrictions d'âge ou de nationalité.
• Connaissance en apprentissage machine et modélisation moléculaire est cruciale.
• Expérience souhaitée en recherche interdisciplinaire.

Responsabilités

• Développer des algorithmes de prédiction moléculaire pour des applications biologiques et de santé.
• Enseigner en informatique à l'interface de la biologie et de la biochimie.
• Collaboration avec des laboratoires expérimentaux pour résoudre des problèmes complexes.

Connaissances

Machine Learning

Collaboration Interdisciplinaire

Modélisation Moléculaire

Analyse de Données

Formation

Doctorat ou équivalent

Description du poste

Organisation/Company: CNRS

Department: Direction des ressources humaines

Research Field: Computer science, Mathematics > Algorithms

Researcher Profile: First Stage Researcher (R1)

Country: France

Application Deadline: 14 Jul 2025 - 23:59 (UTC)

Type of Contract: Other

Job Status: Full-time

Hours Per Week: 35

Offer Starting Date: 23 Jun 2025

Funding: Not funded by a EU programme

Research Infrastructure: No

Offer Description

CNRS is seeking a researcher for a multidisciplinary project focusing on computational approaches to biological and health-related challenges, particularly in molecular modeling and simulation using generative AI techniques.

The project involves collaborations across computer science, mathematics, biology, chemistry, and health, aiming to develop a national ecosystem of interdisciplinary researchers addressing key computational challenges in biology and health data analysis, from fundamental research to translational applications.

Three laboratories (LAAS, LIX, and LORIA) will host the position, focusing on molecular prediction algorithms related to RNA, proteins, and their complexes, with applications in biology and health. The recruited researcher will specialize in interpretable or deep machine learning to enhance interdisciplinary collaboration and understanding of molecular structures.

The project emphasizes solving algorithmically complex problems with therapeutic applications, modeling flexible biomolecules like disordered protein regions and RNAs, and addressing challenges such as data scarcity through collaborations with experimental laboratories.

The role includes teaching activities aligned with the associated sites' strategies, focusing on computer science at the interface with health, biology, and biochemistry.

CNRS promotes open science, aiming for full accessibility of research outputs, including publications, data, and software, with dissemination through scientific publications, patents, software, and outreach activities like conferences and public engagement.

The project also emphasizes the societal impact of science, contributing to public decision-making and participatory science initiatives.

Applicants must hold a doctorate or equivalent; there are no restrictions on age or nationality. CNRS positions are accessible to people with disabilities, with accommodations as needed.