recruiting a PhD student in algorithmic bioinformatics, to start in
spring 2017. The position provides a competitive salary for a period
of 4 years.
The successful applicant will develop and engineer efficient
algorithms for analyzing biological high-throughput sequencing data.
Supporting the lab's agenda, the successful candidate will employ
tools and techniques from combinatorial optimization and machine
learning to leverage large numbers of publicly available data sets.
Translated into scalable and usable software, they will facilitate the
systematic exploration of important biological or biomedical
questions.
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 (stefan.canzar@lmu.de), who can also supply further
information about this position. For more information about the lab at
LMU, please visit our website at https://canzarlab.github.io/.
Applications will be reviewed starting from April 17, 2017.
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