To reinforce our team in Wädenswil, Switzerland, we are seeking a PhD Student.
PhD in Computational Phylogenetics


Zurich University of Applied Sciences (ZHAW)

Work Location

Wädenswil, Switzerland

Employment fraction


Type of contract


Job tasks
With the advent of new generation sequencing (NGS) bioinformatic methods must keep pace to provide robust scalable solutions to analyse large sets of molecular sequences. The evolutionary history of molecules is described by a tree structure called phylogeny, which is inferred from genomic sequences. Phylogenies are used for testing biological hypotheses with applications ranging from medicine to ecology. Phylogeny inference usually relies on an inferred alignment of homologous sequences, which, in turn, relies on a guide-tree reflecting their ancestral relationships. The goal is to address this apparent circularity so to improve the reliability of phylogenetic analyses. Ideally alignment and tree should be inferred jointly. 

For example, please see our recent article:
Maiolo M, Zhang X, Gil M, Anisimova M. "Progressive multiple sequence alignment with indel evolution" BMC Bioinformatics. 2018. 19(1):331. doi: 10.1186/s12859-018-2357-1.

In the context of the project funded by Swiss National Science Foundation, we are looking for a suitable candidate for a PhD position. The successful candidate will work as part of Applied Computational Genomics Team lead by Maria Anisimova at the Institute of Applied Simulations, Zurich University of Applied Sciences (ZHAW Wädenswil) and will have a second affiliation to the University of Zurich or the University of Neuchatel.

The group is also part of Swiss Institute of Bioinformatics, which provides additional training and networking opportunities.

Group official ZHAW website:

Profile requirements
  • Strong background in computational science algorithms, statistics, stochastic modeling or similar;
  • Working knowledge of C++ ;
  • Some knowledge of phylogenetics and molecular evolution is an advantage
How to apply
Please send an email with subject JATI2020 to

Your application should be in one pdf file including your CV, degree certificates and a letter of motivation. The position will be filled as soon as a suitable candidate is found.