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Ivica Medugorac

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PhD Position in Population Genomics and Genomics-Assisted Breeding of Short-Tailed Sheep Ludwig-Maximilians-Universität München in Germany

Degree Level

PhD

Field of study

Evolutionary Biology

Funding

Part-time employment at 65% under the TV-L Entgeltgruppe E13 remuneration scale. The initial appointment is limited to 12 months, within a three-year project, with the start date as soon as possible.

Deadline

Nov 30, 2026

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Country

Germany

University

Ludwig-Maximilians-Universität München

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Keywords

Evolutionary Biology
Population Genetics
Agriculture
Biology
Conservation Biology
Veterinary Science
Animal Breeding
Sustainable Agriculture
Genomic Selection
Domestication
Bioinformatic

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About this position

Ludwig-Maximilians-Universität München is offering a PhD opportunity in the Population Genomics Group at the Chair of Animal Systems Genomics, Faculty of Veterinary Medicine. Led by Prof. Ivica Medugorac, the group investigates neutral and functional genetic diversity in domesticated animals and their wild relatives, population and evolutionary genomics, domestication, artificial selection, conservation biology and sustainable agriculture.

The doctoral research is part of the BackToShort project, which aims to breed sheep with a natural, functional short-tail phenotype into Bavarian commercial and endangered domestic sheep populations. The long-term goal is to help avoid tail docking while maintaining genetic diversity and relevant breeding traits.

The project will examine the genetic basis of tail length, building on a variant identified in the HOXB13 gene region and using genetic mapping and genome-wide sequencing to identify additional variants. The PhD researcher will also study how selection influences genomic relatedness, genetic diversity and other breeding characteristics.

Research activities combine applied animal breeding with fundamental questions in population and evolutionary genomics. The doctoral project will integrate project-specific genomic and phenotypic data with publicly available genomic datasets to interpret patterns shaped by evolution, domestication and artificial selection.

The researcher will systematically collect metadata on sheep population genomics, analyse SNP and whole-genome sequencing data, prepare research reports and scientific publications, and develop an individual doctoral thesis. The three-year project is conducted with breeding organisations, the Bavarian State Research Center for Agriculture and other veterinary medicine partners. Analyses will be carried out in the Population Genomics Group at Martinsried/Planegg and, from spring 2027, at the Munich city site on Königinstraße.

Funding details

Part-time employment at 65% under the TV-L Entgeltgruppe E13 remuneration scale. The initial appointment is limited to 12 months, within a three-year project, with the start date as soon as possible.

What's required

Applicants should hold a Master's degree in Biology, Animal Sciences, Animal Breeding, Bioinformatics, Genetics or Computational Biology, or have completed a veterinary medicine degree. They should have solid knowledge of biological data analysis, enthusiasm for computer-assisted research, and ideally experience with genomic, SNP, next-generation sequencing or population-genetic data and programming in R, Python or similar. A structured, independent and meticulous approach to work is expected. Very good written and spoken English is essential; German is desirable.

How to apply

Send your CV and cover letter by email to [email protected] by 30 November 2026. Contact Professor Ivica Medugorac at the same address for further enquiries.

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Professors

Professor

University Name
Country flag

Germany

Research Interests

Conservation Biology

Genomic Selection

Evolutionary Biology

Sustainable Agriculture

Bioinformatic