Ph.D. Position: Conservation Genomics and Evolution of Endangered Pyrenean Plants Amidst Climate Change Challenges

Ph.D. Position: Conservation Genomics and Evolution of Endangered Pyrenean Plants Amidst Climate Change Challenges
Application Deadline: Wednesday, January 31, 2024
Contact: jerome.murienne@cnrs.fr
General Information
Job Title: Ph.D. in Ecology on Threatened Plants of the Pyrenees (M/F)
Reference: UMR5300-CRBE-001
Number of Positions: 1
Location: Toulouse
Publication Date: December 22, 2023
Type of Contract: Fixed-term doctoral contract
Contract Duration: 36 months
Ph.D. Start Date: March 1, 2024
Workload: Full-time Remuneration:
Monthly gross flat rate of 2135 euros

Thesis Subject Description
The proposed thesis topic is part of the interregional European program FLORAPYR3D (INTERREG France, Spain, Andorra), coordinated by the National Botanical Conservatory of the Pyrenees and Midi-Pyrénées. FLORAPYR3D aims to enhance knowledge about the flora and habitats of the Pyrenees and support conservation and management actions by assisting public authorities and managers. The thesis will be supervised by Jérôme Murienne (Biodiversity and Environment Research Center) and Joris Bertrand (University of Perpignan Via Domitia) and will benefit from a supervisory team composed of Jordi Salmona, Romain Bertrand, Gabrielle Martin, and Nathalie Escaravage. The candidate will conduct population genomics studies on certain threatened plant species to document conservation challenges within the Pyrenees. The candidate will use modeling tools to predict the impact of global changes on the distribution of the considered species.
Work Context
The candidate will be hosted at the Biodiversity and Environment Research Center (CRBE) located in Toulouse on the campus of the University of Toulouse 3 Paul Sabatier. The candidate will be affiliated with the SEVAB doctoral school at the University of Toulouse.
Constraints and Risks
The candidate may potentially conduct field sampling in a mountainous context and must have good physical fitness for missions in challenging terrain. Additionally, the candidate should possess solid knowledge in population genomics and modeling, as well as proficiency in statistical analysis tools and the R language. Knowledge of BASH scripting, experience in bioinformatics, and familiarity with the plant biological model will be advantageous for the application.