Job offer

European Commission; France; Sur place; EUR 35 000 - 50 000; Plein temps

Résumé du poste

Un poste de chercheur au CNRS, impliqué dans la modélisation bio-mathématique à l'interface de l'écologie et de l'évolution, est disponible. Le candidat devra développer des méthodes d'analyse pour des données complexes et enseigner des cours orientés sur les mathématiques appliquées à la biologie. Ce rôle encourage également la diffusion des résultats de recherche et la participation dans des activités d'interaction science-société.

Qualifications

• Titulaire d'un doctorat, aucune restriction d'âge ou de nationalité.
• Capacité d'enseigner des cours spécifiques en mathématiques appliquées et statistiques.
• Expérience en modélisation écologique et bio-statistique souhaitée.

Responsabilités

• Développer de nouvelles méthodes de modélisation pour des données génomiques et phénotypiques.
• Participer à l'enseignement spécialisé en mathématiques et statistiques.
• Contribuer à des activités de science participative et interaction sociale.

Connaissances

Modélisation

Statistiques

Bioinformatique

Deep Learning

Formation

Doctorat ou équivalent

Description du poste

Organisation/Company: CNRS

Department: Direction des ressources humaines

Research Field: Mathematics, History of science

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 an EU programme

Research Infrastructure: No

Offer Description

The formalization of ecological and evolutionary processes using bio-mathematical, bio-statistical, and bio-informatics approaches is fundamental in our field, essential for understanding living systems on complex time and space scales. Modeling, scenario-building, and prediction are central to many scientific and societal challenges, relying on massive, heterogeneous data and new methodologies like deep learning. Maintaining and strengthening CNRS's research potential at the interface of modeling, ecology, and evolution is vital.

The Laboratoire d'Écologie Alpine (LECA, UMR5553) studies biodiversity dynamics amid environmental change, integrating remote sensing, eDNA, metagenomics, acoustics, phototraps, and AI to model biodiversity. The Laboratoire Jean Kuntzmann (LJK, UMR5224) focuses on applied mathematics related to ecology and life sciences, including analysis of omics data, pharmacology, oncology, and environmental sciences. Both labs collaborate within UGA's multidisciplinary AI institute.

Advances in data science and digital technologies have expanded AI applications in ecology and evolutionary biology. However, rapid development in agriculture and urbanization threatens biodiversity. The role involves developing new modeling methods to connect genomic, phylogenetic, or phenotypic data, advancing understanding of evolutionary processes at various scales.

The recruited individual will participate in high-level teaching with a mathematical specialization, preferably related to biology, and may also teach interdisciplinary courses covering statistics, modeling, data processing, and databases.

CNRS promotes open science, aiming for full accessibility of research outputs, including publications and data, with specific restrictions where necessary. Researchers are encouraged to disseminate results through publications, patents, software, and targeted outreach such as websites, newsletters, conferences, and summer schools.

The project emphasizes science-society interaction, contributing to public decision-making and initiating participatory science activities with socio-economic and cultural stakeholders.

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