We are always looking for motivated interns and Masters students. If you are interested please write an email to bertels@evolbio.mpg.de

At the moment we also have a vacant PhD position in the Predicting Evolution project.


The aim of this project is to predict evolutionary outcomes from population sequencing data of a single sample. To assess whether this is possible we will first fully characterize the mutational fitness effects distribution (MFED) of phage PhiX174, a very well studied phage with a very short genome. We will infer the MFED from population sequencing data. On the basis of the MFED we will devise our first model to predict evolutionary outcomes. To test and refine this model we will perform an evolution experiment. Ultimately we are aiming to determine the earliest point in the evolution experiment at which we can with high confidence predict the evolutionary outcome of the experiment.


The successful candidate will work in the wet lab, devise programs to analyze large amounts of sequencing data and apply mathematical models to understand the data. Hence we are looking for a candidate with either a quantitative background (bioinformatics, physics, mathematics or computer sciences) with a keen interest in biology or a candidate with a biological background and good programming skills.


The PhD would be performed in the Microbial Molecular Evolution group under the supervision of Dr. Frederic Bertels. The Microbial Molecular Evolution group is a newly established group in the Department of Microbial Population Biology at the Max Planck Institute for Evolutionary Biology in Plön. The Max Planck Institute currently houses three departments with plenty of opportunities for collaboration. Collaborations with the Evolutionary Theory department already exist for the proposed project.


How to apply: Please send a CV, a brief cover letter (explaining your interest in the position, no more than 1 page) and contact details of two references to Dr. Bertels (bertels@evolbio.mpg.de). Position open until filled.


Dr. Frederic Bertels

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