Population Dynamics of microbial communities with CRISPR and Phylogenetics of CRISPR spacer arrays
We are seeking a motivated candidate for joining our Research Group for Mathematical and Computational Population Genetics, at the University of Tübingen.
The research in our group is primarily focused on mathematical and computational approaches to explain microbial evolution. We are part of two Clusters of Excellence in Tübingen, namely the Clusters "Controlling Microbes to Fight Infections" and "Machine Learning in Science". Our work spans collaborations with biologists to mathematicians. We mainly use population genetics, diffusion theory, phylogenetics approaches, and other tools based on stochastic processes and analytical approaches. We aim in all our projects to obtain also applicable computational approaches for biological data. Therefore we implement inference, estimation, and analysis tools using phylogenetics, simulations, and machine learning approaches to analyze human and prokaryotic genome data.
The main topic of the Ph.D. project will be centered around the evolution of CRISPR systems in prokaryotes and in particular the composition of the CRISPR spacer array.
This is a project within the DFG priority program "Much more than defense, the many functions of CRISPR-Cas", see also here.
Examples of some of the issues that we are interested in furthering include (depending on the methodological background):
Infer the phylogeny of CRISPR spacers
Identify CRISPR spacers under selection based on deviations from neutral models
Analyze a diffusion process that describes the co-evolution of CRISPR possessing bacteria
If you are not as keen about the evolution of CRISPR as we are, but would still like to join the group, please get in touch with us anyway. We might have further funding resources that might suit you. In this case, the main topic of the PhD project can be developed together in a discussion with the candidate.
Further details and the official job announcement can be found on the CMFI website.