Job offer

European Commission; France; Sur place; EUR 30 000 - 60 000; Plein temps

Résumé du poste

Le CNRS recherche un professeur junior pour modéliser des fonctions biologiques et former des étudiants en outils de modélisation. Ce poste, à temps plein, met l'accent sur l'intégration de l'intelligence artificielle dans la recherche biologique tout en promouvant la science ouverte et l'accessibilité des résultats.

Qualifications

• Doctoat ou Ph.D. requis, avec une expérience en biologie ou domaines similaires.
• Intérêt pour l'intégration des mathématiques et de la biologie.
• Capacité à travailler avec de grandes données et outils d'IA.

Responsabilités

• Modéliser des fonctions biologiques à l'aide de données massives.
• Former des étudiants à l'analyse de données et à la modélisation.
• Promouvoir la science ouverte et la dissémination des résultats.

Connaissances

Modélisation

Analyse de données

Intelligence artificielle

Formation

Doctorat ou Ph.D. en domaines connexes

Description du poste

Organisation/Company: CNRS

Department: Direction des ressources humaines

Research Field: Biological sciences » Biology

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 Staff Position: No

Offer Description

The CNRS brings its expertise and coordination capacity to major national research programs. This Junior Professor Chair (JPC) aims to model biological functions using big data generated by initiatives like Tara Oceans and ATLAsea. This JPC is part of a broader series from 2023 to 2027, enhancing data management in 'omics'.

The laboratory explores genomic and functional biodiversity, studying organism consortia from diverse environments, aiming to elucidate unknown gene functions through genomics and experimental validation. This research advances biotechnology, biocatalysis, and synthetic biology, promoting green chemistry and reducing environmental impact.

Recent advances in computational modeling and AI open new biological research avenues, including protein relationships and microbial community dynamics. The CPJ in computational biology will strengthen these areas, developing predictive models that integrate multiple biological scales, leveraging large-scale data from national projects and high-throughput screening.

The program trains students in computational modeling and AI tools for biological research, focusing on large-scale data analysis, multi-scale predictive modeling, and machine learning in biology. It targets Master's or PhD students in related fields interested in integrating mathematics and biology.

CNRS promotes open science, aiming for full accessibility of research outputs via repositories like HAL, and encourages sharing data and results while respecting restrictions. Results dissemination will include publications, patents, software, and outreach activities like conferences, websites, and educational initiatives.

The project emphasizes science-society relations, informing public decision-making, and initiating participatory science with socio-economic actors.

Applicants should have a doctorate or PhD or equivalent. There are no restrictions on age or nationality. CNRS positions are accessible to people with disabilities, with accommodations as needed.