Job description
We are looking for a doctoral student that is eager to work on cutting-edge research questions that involve the analysis of third generation sequencing data. You will develop computational workflows to analyse (ultra) long sequencing data in order to identify trait-associated sequence variants. You will contribute to the generation of reference-quality genome assemblies and bovine pangenomes, and develop new approaches to analyse these data.
Active participation in international conferences is very much supported.
This is a fully funded position for 4 years with an anticipated start date of October 1st, (negotiable).
Further project details will be discussed further in the interview.
Profile
You have a MSc degree or are about to finish your MSc studies in a discipline relevant for the position. You are interested in applying computational genomics and bioinformatics approaches and/or ultra-long read sequencing to address scientific questions in an academic environment. You are interested in genetics and genomics. Some previous experience with the analysis of sequencing data is a prerequisite. This position is ideally suited for a researcher that is interested in developing and applying cutting-edge methods to analyse long read sequencing data and/or T2T assemblies and/or pangenome graphs. You will closely work with other doctoral and postdoctoral researcher.
The writing of scientific papers and active participation in internal meetings and in international conferences will require a good knowledge of English
Workplace
Workplace
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Doctoral student in Genomics • Zurich
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