The successful candidate will develop population genetics models that include selection against multiple genetic incompatibilities with arbitrary dominance under different types of life cycles. The model will be studied using both mathematical analyses and computer simulations. The model can be extended to include: i) spatial structure, ii) different kinds of genetic incompatibilities, and iii) sex chromosomes. The exact project plan will be adjusted based on the background and interest of the candidate. Moreover, the candidate is encouraged to develop their own ideas within the project.
Participate in the BRYOFIT ERC project led by Christelle Fraïsse : "Selection efficacy at intraspecific and interspecific scales: insights from haplo- diplontic plants". The post-doctoral project will evaluate how the relative lengths of the haploid and diploid phases in the life cycle of haplo-diploid organisms affect the efficacy of selection against hybridisation between species.
The EEP lab at Lille University conducts basic research on the origin and evolution of biodiversity in genomics, ecology and palaeontology, plants being the lab's historical model system. It hosts a total of ca. 50 researchers & technicians and 25 PhD students & PostDocs. Lille is a vibrant university city located in the North of France, less than 1b0 from Paris, Brussels and London. Multiple stays in the Biomath Department, Vienna University (Austria), are planned for collaboration with Himani Sachdeva. The Biomath group works on mathematical and computational analysis of genetic processes. It is located in Vienna, a leading centre for evolutionary biology with the dynamic 'EvolVienna' community, and one of the most pleasant cities in the world.Eligibility criteria
The candidate must hold a doctoral degree and have a strong background in population genetics modeling, either as a trained biologist with quantitative skills or a trained mathematician familiar with population genetics. The ideal candidate should be motivated, have good communication skills, and be willing to work independently as well as part of collaborative projects. Prior experience in any of the following areas will be an advantage : • mathematical modeling of evolutionary processes. • simulations (e.g. SLiM, msprime). • programming skills (e.g. R, Python, bash, C). • experience with high-performance computing (e.g. slurm).Additional comments
Please provide : • a motivation letter describing research interests, relevant experience and interest in the position (max. two pages). • a CV, including a list of publications. • the names and email addresses of at least two referees.Web site for additional job details
https: // emploi.cnrs.fr/Offres/CDD/UMR8198-FRAHOL-005/Default.aspxRequired Research Experiences
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1 - 4Offer Requirements
Biological sciences: Master Degree or equivalent
Environmental science: Master Degree or equivalent
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