PhD students in Mathematical and Computational Population Genetics

The newly founded independent junior research group Mathematical and Computational Population Genetics headed by Franz Baumdicker at the University of Tuebingen has an opening for
PhD students (f/m/d)
The group develops and applies mathematical models and bioinformatic tools with a special focus on microbial evolution.
We are interested in a variety of evolutionary scenarios including CRISPR-Cas Evolution and Dynamics, Pan-Genome Evolution, Horizontal Gene Transfer, Fluctuation Selection, and Cooperation in Bacteria.
The PhD students will work at the intersection of Mathematical Population Genetics / Computational Biology / Bioinformatics using mathematical population genetics, phylogenetics, statistical analysis, machine learning algorithms, and large scale simulations to derive new results, develop open source software and apply them to (microbial) genome data.
Ideally, we are looking for someone who is interested to study ancestral events and phylogenies based on CRISPR spacer arrays, and/or diffusion processes modelling the population dynamics of species with CRISPR-Cas systems, but other topics are possible. For scientific questions contact

Candidate profiles we would love to see:

– Master’s degree in (Bio-)Mathematics, Statistics, Bioinformatics, Computational Biology or a related field
– Interest in interdisciplinary research
– Strong mathematical preparation and interest
– Good computational skills (e.g. in Python, R)
– Independent, responsible and committed work
– Fluency in (scientific) English

What we offer:

– Salary according to TV-L, E13 (65%)
– Dissertation at the Faculty of Natural Sciences working with two advisors
– The group is part of two Excellence Clusters (Controlling Microbes to Fight Infections & Machine Learning) in Tuebingen, which offers an excellent research environment with plenty of potential collaboration partners.
– Flexible starting date (e.g. now or in summer 2021)
– Integration into the DFG priority programme SPP2141, where appropriate
– Focus on research (no formal teaching duties)
– Responsibility to conduct your own research projects with a high amount of autonomy

Researchers from outside Germany are particularly encouraged to apply.
Applications and inquiries should be sent to

Please send your application as a single PDF file and include a brief statement on your interests and experience, CV (including a possible list of publications and the contact info of two academic references), and university transcripts.
Severely disabled persons are given preferential consideration if they are equally suitable.

The review of applications will begin in October 2020 and continues until the positions are filled.
More information can be found at

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