Research Field: Biological sciences Environmental science
Researcher Profile: Recognised Researcher (R2)
Application Deadline: 30/09/2022 23:59 - Europe/Brussels
Location: France › VILLENEUVE D ASCQ
Type Of Contract: Temporary
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 01/10/2022
Eu Research Framework Programme: H2020 / ERC
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
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
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.
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).
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.aspx
Required Research Experiences
YEARS OF RESEARCH EXPERIENCE
1 - 4
YEARS OF RESEARCH EXPERIENCE
1 - 4
REQUIRED EDUCATION LEVEL
Biological sciences: Master Degree or equivalent
Environmental science: Master Degree or equivalent
Department: Evolution, Ecologie et Paléontologie
Organisation Type: Public Research Institution
Website: https:// eep.univ-lille.fr/
City: VILLENEUVE D ASCQ