2-year postdoctoral position in "Population Genetics Modeling" with Christelle Fraïsse and Himani Sachdeva
October 2022 (preferred but negotiable). Applications are welcome from now on until the position is filled.
Evolution, Ecology & Paleontology lab, Lille University (France).
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 1h30 from Paris, Brussels and London.
Multiple stays in the Biomath Department, Vienna University (Austria).
The Biomath department at Vienna University 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.
Monthly net salary is 2,238 to 3,190 euros, according to experience. The contract includes health insurance and 44 days of annual leave.
ERC project "BryoFit" (2022-2027) led by Christelle Fraïsse.
Selection efficacy at intraspecific and interspecific scales: insights from haplo-diplontic plants.
Factors influencing the efficacy of natural selection, particularly how the dominance level of selected mutations interacts with the ploidy level of organisms, remain poorly understood. A key prediction is that recessivity should reduce selection efficacy in diploids but not haploids. However, this is challenging to test directly in species with a diploid-dominant life cycle. An under-explored phylogenetic clade ideal for studying this question is Bryophytes. Their life cycles are characterised by alternating between a long haploid phase (gametophyte) and a short diploid phase (sporophyte). The relative lengths of the haploid and diploid phases can be appreciably different across different species, making them ideal for comparative analysis.
With that global aim, 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 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.
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:
i) mathematical modeling of evolutionary processes.
ii) simulations (e.g. SLiM, msprime).
iii) programming skills (e.g. R, Python, bash, C).
iv) experience with high-performance computing (e.g. slurm).
How to apply:
i) motivation letter describing research interests, relevant experience and interest in the position (max. two pages).
ii) CV, including a list of publications.
iii) copies of academic diplomas.
iv) names and email addresses of at least two referees.