To reinforce our team in Bern, Switzerland, we are seeking a Post-doc
Modelling and analyzing the impact of ancient range expansions on human genomic diversity

Employer

University of Berne


Work Location

Bern, Switzerland


Employment fraction

100%


Type of contract

temporary

Job description

A 2-years Post-doc position is available 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 (fastsimcoal2) to enable it to 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. You 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.

Profile requirements

We are looking for a highly motivated and productive candidate to join our 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. 

Gross salary is in the range of 80K CHF per year and follows the Swiss NSF scale. The CMPG lab offers a very stimulating research environment with access to High Performance Computation facilities and close connections with the Swiss Institute of Bioinformatics. Berne is ideally located in the middle of Switzerland and Europe, and provides rich cultural and outdoor activities.

Start date: 15 Jan 2022

Application deadline: 30 Nov 2021

Workplace: Bern

How to apply
If you are interested in this challenging and highly interesting position, please send your application including CV and letter of motivation to laurent.excoffier@iee.unibe.ch