General information
Offer title : M/F Post-doc in machine learning for the study of biodiversity (H/F)
Reference : UMR8197-VALHER-191
Number of position : 1
Workplace : PARIS 05
Date of publication : 29 September 2025
Type of Contract : Researcher in FTC
Contract Period : 12 months
Expected date of employment : 10 December 2025
Proportion of work : Full Time
Remuneration : Between 3 081 € and 4 756 € according to experience
Desired level of education : Doctorate
Experience required : Indifferent
Section(s) CN : 29 - Biodiversity, evolution and biological adaptations: from macromolecules to communities
Missions
The post-doctoral researcher will develop machine learning approaches (deep learning) to understand the eco-evolutionary mechanisms underlying biological diversity from environmental (phylo)genomic data.
Activities
- Methodological developments in machine learning
- Coding
- Tests with simulations
- Data analyses
- Paper writing
- Presenting results
Skills
- Knowlege of machine learning (in particular deep learning) approches
- General knowledge of ecology-evolution
- Environmental genetics
- Coding eco-evolutionary models
- Data analysis
- Interpreting and exploiting results
- Writing scientific publications
- Oral presentations of results
- Working as a team and independently
Work Context
- Integration within the BioDiv team at IBENS
- Availability of work station, computer, access to computer cluster
Constraints and risks
None