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The Canzar lab at the Gene Center of the University of Munich (LMU) is recruiting a PhD student in algorithmic bioinformatics, to start in spring/summer 2017. The position provides a competitive salary for a period of 4 years.

We develop algorithms for the analysis of high-throughput sequencing data like (single-cell) RNA-seq as well as for third-generation technologies like PacBio and Oxford Nanopore. Supporting the lab's agenda, the successful candidate will use tools and techniques from large-scale optimization and machine learning to develop and engineer efficient algorithms that leverage large numbers of publicly available sequencing data sets. Translated into scalable and usable software, they will facilitate the systematic exploration of important biological or biomedical questions, such as the functional impact of alternative splicing.

The Canzar lab is embedded in the stimulating, interdisciplinary environment of the Graduate School for Quantitative Biosciences Munich (QBM), which integrates approaches ranging from bioinformatics and theoretical biophysics to molecular systems biology. The lab is housed in the new Research Center for Molecular Biosystems (BioSysM) at the life sciences campus Grosshadern/ Martinsried, with excellent access to other parts of Munich via public transport.

We are seeking motivated candidates with an excellent Master’s degree (or equivalent) in computer science, (applied) mathematics, or bioinformatics to join our lab. We expect the candidate to have a solid background in algorithm design and good programming skills as well as an interest in interdisciplinary work (biology, medicine).

To apply, send your application materials, including a motivation letter, your CV, and names of two referees in a single pdf file to Stefan Canzar (This email address is being protected from spambots. You need JavaScript enabled to view it.), who can also supply further information about this position. For more information about our lab at LMU, please visit our website at

Applications will be reviewed starting from April 17, 2017   

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