Inbreeding in a Wild Mammal System: PhD in Evolutionary Ecology
About the Project
Wild populations are increasingly exposed to demographic decline and fragmentation, making inbreeding and its consequences a central problem in evolutionary biology and conservation. We address this using one of the most comprehensive datasets available for any vertebrate population: a longterm field study in Switzerland of more than 20,000 wild mice that vary naturally in degree of inbreeding. We aim to quantify inbreeding effects on behaviour, reproductive output, survival and morphology and relate these to genetic loci. The PhD project is embedded in a collaborative framework with network scientists and evolutionary biologists at the University of Zurich and at Columbia University.
We are seeking a highly motivated PhD student to join our research group at the University of Zurich to examine the phenotypic and genetic consequences of inbreeding in a wild mammalian population.
Your responsibilities
- analyse large-scale phenotypic datasets (behaviour, life history, morphology)
- perform animal experiments on inbreeding
- develop and apply statistical models
- collaborate across disciplines (behavioural ecology, network science, genomics)
- contribute to high-quality publications
Your profile
- fascinated by fundamental questions in evolutionary biology
- MSc (or equivalent) in evolutionary biology, ecology, animal behaviour, or a related field
- training in quantitative genetics and behavioural ecology
- evidence of analytical ability and scientific independence
- strong quantitative skills, R programming, experience with large datasets
- project management, teamwork, scientific communication and organisational skills
What we offer
The University of Zurich provides an international, English-speaking research environment with excellent infrastructure and strong interdisciplinary links. You will be embedded in an active and collaborative research group with access to a unique long-term dataset and outstanding scientific support. You will benefit from close collaboration with leading groups in network science and genomics. We are committed to fostering an inclusive and respectful working environment.
The position is funded for four years with a competitive salary. Zurich offers a very high quality of life and a vibrant scientific community.
Start of employment
1 August 2026, or by agreement.
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