Faculty Position in Computational Biology
The School of Life Sciences of the Ecole polytechnique fédérale de Lausanne (EPFL) invites applications for a Tenure Track Assistant Professor or Associate Professor position in the broad field of Computational Biology.
We are seeking candidates with a track record in addressing fundamental biological or biomedical questions by developing computational and/or theoretical approaches. All flavors of computational biology will be considered. The successful candidate will develop an independent research program, participate in both undergraduate and graduate teaching, as well as supervise PhD students and postdoctoral fellows.
The successful candidate will join a diverse, interactive and interdisciplinary research community and the newly established doctoral program in Computational and Quantitative Biology. The School of Life Sciences fosters interactions with EPFL partners, such as the Schools of Basic Sciences, Engineering, and Information and Communication Technologies, as well as with the Swiss Data Science Center.
Significant start-up resources, research budget and state-of-the-art research infrastructure are available. Salaries and benefits are internationally competitive.
Applications should provide a cover letter, a curriculum vitae, a synopsis of main accomplishments, and a concise statement of future research agenda and teaching interests, along with the name, address and e-mail of at least three references for a junior position or five references for a senior position. Applications should be uploaded as PDF files to the recruitment web site:
Formal evaluation of candidates will begin on January 15, 2019, and continue until the position is filled.
Enquiries may be sent to:
Prof. Andrew Oates
Search Committee Chair
For additional information on EPFL and the Institute of Bioengineering, please consult: www.epfl.ch, sv.epfl.ch
EPFL is an equal opportunity employer and family friendly university. It is committed to increasing the diversity of its faculty. It strongly encourages women to apply.