A 2 years post-doc position (with possible extension to up to 4 years) is available from February 1st 2020 at the University of Berne to develop new methodologies to study the impact of past range expansions on whole genome diversity. The developments will be applied to the analysis of ancient and modern genomes in a spatially explicit framework. The successful candidate will modify and extend computer programs developed in our lab (e.g. fastsimcoal2, splatche3) to enable them to 1) describe the impact of genetic surfing on the diversity of whole genomes and 2) infer past demographic processes from the genomes of individuals sampled at different locations and different time points. Potential differences between neutral and selective processes will be assessed via machine learning approaches. The post-doc will apply the new methodologies to published data sets as well as ancient human genomes specifically generated in our lab in collaboration with Joachim Burger from the University of Mainz. This project will also benefit from collaborations with Dr. Mathias Currat (University of Geneva, for software development) and Profs. Eske Willerslev and Martin Sikora (Univ. of Copenhagen, for aDNA).
We are looking for a highly motivated and productive individual to join our very international lab. The ideal candidate will have a PhD in computational biology, bioinformatics, population genetics or statistics, with past experience in C/C++ programming and quantitative data analysis, as well as good scientific paper writing skills.
The successful candidate is also expected to be involved in light teaching and administrative duties.