PhD student (m/f/x)

A key focus is on genomic selection and the preservation of genetic diversity. In addition to a genetic variant already identified in the HOXB13 gene region, genetic mapping and genome-wide sequencing will be used to investigate further genetic variants that influence tail length. At the same time, the project will monitor how selection affects genomic relatedness, genetic diversity and other relevant breeding traits.

The project combines applied animal breeding with fundamental questions concerning the population and evolutionary genomics of farm animals. The PhD thesis therefore offers the opportunity to combine project-specific genomic and phenotypic data with publicly available genomic data and to investigate the observed patterns in the context of evolution, domestication and artificial selection.

The three-year project is being carried out in close collaboration with breeding organisations, the LfL and other partners from the field of veterinary medicine. The analyses themselves will take place in the Population Genomics Group at the Martinsried/Planegg site and, from spring 2027, at the Munich city (Königinstraße).

We are looking for you:

# PhD student (m/f/x)

in Planegg

## Your tasks and responsibilities:

• Systematic collection of metadata on sheep population genomics
• Analysis of genomic data (SNPs and WGS)
• Writing research reports
• Writing scientific publications
• Writing your own doctoral thesis

## Your qualifications:

For an interdisciplinary research project on genomics-assisted breeding for short-tailed sheep, we are seeking a PhD student with an interest in population genomics, animal breeding, veterinary medicine, evolutionary biology and/or bioinformatics for an interdisciplinary research project on genomics-assisted breeding for short-tailed traits in sheep.

• A Master’s degree in Biology or Animal Sciences/Animal Breeding or Bioinformatics or Genetics or Computational Biology or a completed veterinary medicine degree
• Solid knowledge of biological data analysis and an enthusiasm for computer-assisted research
• Ideally, some experience with genomic data, SNP data, next-generation sequencing data or population genetic analyses
• Ideally, programming skills, e.g. in R, Python or similar
• A structured, independent and meticulous approach to work
• Very good written and spoken English (essential) and knowledge of German (desirable)

## Benefits:

The LMU is one of the largest and most prestigious research institutions in Germany and offers a wide range of training and development opportunities. The workplace is Martinsried close to Bio-M Cluster that can be easily reached by public transport. The salary will be based on [TV-L Entgeltgruppe E13](https://oeffentlicher-dienst.info/c/t/rechner/tv-l/tr/2025?id=tv-l-2026&matrix=1) (65%). The University of Munich is interested in increasing the number of female faculty members and encourages women to apply.

People with disabilities who are equally as qualified as other applicants will receive preferential treatment.

## Contact:

To apply please send your CV and cover letter **till 3** to <>. For any further enquiries regarding the position, please contact Prof. Medugorac at the same e-mail address.

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Veröffentlicht am 26. Okt. 2026

Veröffentlicht am 26. Okt. 2026