PhD position in Bioinformatics/ Molecular Evolution

Three-year Ph.D. studentship is available at the Computational
Biochemistry Research Group (CBRG), department of Computer Science at
the Swiss Federal Institute of Technology (ETH Zurich), highly
reputable internationally. CBRG is a member of the Swiss
Bioinformatics Institute (SIB) and benefits from SIB training courses
and networking.

The research focus will be to study selective pressures and other
patterns in proteins with tandem repeats (which often play role as
receptors, implicated in human disease, and more). The project will
involve modeling the evolutionary process at the codon level and
developing/adapting machine-learning techniques to recognize patterns
in complex multi-facet data. Planned collaborations with structural
biologists (CNRS, Montpellier) promise an exciting case for motivated
young scientists.

Successful candidates will have a strong background in bioinformatics,
computer science, statistics, and/or computational biology. Fluency in
a major scripting language, and experience in software development is
a must. Some background in biology is desirable, but interest in
biology and bioinformatics is required. Candidates should be highly
motivated and have the ability to work independently. As the research
will involve a mix of disciplines, candidates with experience in
several fields will be preferred (bioinformatics, genetics, protein
structure, computational science, mathematics, physics, statistics).

ETH Zurich boasts excellent facilities for studying and recreation.
The working language in the laboratory is English, which is also
widely used in Switzerland. Zurich is located less than one hour from
the Alps, and is a small but vibrant city offering one of the best
living standards in the world. Zurich is well connected to major
European cities, and has a large international community.

The successful applicant will be supervised by Dr Maria Anisimova,
whose interests include a variety of topics in Molecular Evolution and
Bioinformatics.

To apply, please send a single PDF file to [email protected]
containing:

* CV (with publication list if applicable)

* a scanned academic transcript (list of grades in university courses)

* a short statement of research interests, mentioning research topics
of master/diploma theses (not exceeding two pages)

* three references

Please mention “PhD position” in the subject of your e-mail.

The position is open until filled (but quick response is recommended).