The position to be filled is located in the Department of Evolutionary Population Genetics. Research of such department combines classical population genetics, state-of-the-art genomic approaches and long-term field studies of wild populations to deepen the understanding of the fundamental evolutionary processes underlying biological diversity and its conservation in times of rapid environmental change. The current research project funded by the German Research Foundation (DFG) aims to investigate deleterious genetic variation in mongooses.
Research tasks (95 %):
- research on the DFG-funded project "Characterisation of the genetic architecture of inbreeding depression in banded mongooses using novel methods for predicting deleterious mutations", and in particular
- generation and bioinformatic analysis of data for whole genome sequencing of banded mongooses
- analyses of inbreeding and genetic load
- analysis of large, individual-based behavioural and life history data sets from a wild population
- collaboration with external research partners
- compilation and organisation of metadata
- writing and publishing manuscripts
Other tasks (5 %):
- self-administration tasks in the work area
The position is conducive to scientific qualifcation; the opportunity for academic (further) qualification is given.
- salary according to remuneration level 13 TV-L
- befristet (36 months) (§ 2 (1) sentence 1 of the WissZeitVG; in accordance with the provisions of the WissZeitVG and the Agreement on Satisfactory Conditions of Employment, the length of the contract may differ in individual cases )
- Teilzeit 65 %
- internal and external training opportunities
- variety of health, consulting and prevention services
- reconcilability of family and work
- flexible working hours
- 30 days holiday on the basis of 5 working days/week
- good transport connection
- supplementary company pension
- collegial working environment
- open and pleasant working atmosphere
- exciting, varied tasks
- completed scientific university degree (e. g. Master or equivalent) in animal genetics or any related subject
- kowledge of genetics, genomics, bioinformatics, behavioural research or population biology
- practical experience of working with next-generation sequencing (NGS) data
- advanced programming and bioinformatics skills
- very good oral and written English language skills
- independent, responsible and committed approach to work
- strong organisational and coordination skills
- cooperative and team-oriented working style
- practical experience and knowledge of data analysis and visualisation in R
- experience of reproducible workflows
- experience of analysis and interpretation of whole genome sequencing data
We are looking forward to receiving your application. To apply, please preferably use our online form via the application button below.
application deadline: 15.01.2026