Start date : As soon as possible
Application deadline : As soon as possible
Employment fraction : Full-time
Job reference : Postdoc and PhD positions in Computational Systems Biology
City : Basel
Job description
The Department of Biosystems Science and Engineering of ETH Zurich is an integral part of SystemX.ch, the Swiss initiative in Systems Biology. It is located in Basel, a European hotspot for biomedical research, in close proximity of the Biozentrum of the University of Basel, the Friedrich Miescher Institute for Biomedical Research, and the pharmaceutical and biotech industry. ETH Zurich is a major research university, offering an excellent environment for innovative and collaborative research across disciplines.
Job tasks
Applications are invited for a PhD studentship and a Post-Doc position, within the Computational Biology Group at the Department of Biosystems Science and Engineering of ETH Zurich.
The group focuses on the development of detailed, predictive models for cellular signaling networks with a view to develop a comprehensive understanding of the dynamics and evolution of cellular signaling. Projects are carried out in close collaboration with experimental groups so that quantitative data is available and model predictions can be tested in experiments.
Profile requirements
Applicants should have a strong background in mathematical and computational modeling or statistics, and demonstrated experience in nonlinear dynamics and numerical calculations. PhD candidates should hold or expect to obtain an MSc degree or diploma in a numerate discipline (e.g. mathematics, physics, statistics, computational biology, or related areas).
Please send your application to
Please send the usual application material, including at least two references, as a single PDF file to dagmar.iber@bsse.ethz.ch This e-mail address is being protected from spambots. You need JavaScript enabled to view it (preferred), or via surface mail to:
Prof Dagmar Iber
ETH Zurich
D-BSSE
Mattenstrasse 26
4058 Basel
Switzerland
For further information please visit web page at
http://www.bsse.ethz.ch/research/group_iber
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