ETH Zurich Seeks Assistant Professor of Data Science for Bioengineering and Biomedicine

visual: ETH Zurich / Gian Marco Castelberg


In an announcement by ETH Zurich, the Department of Biosystems Science and Engineering (D-BSSE) seeks outstanding candidates for the open faculty position of Assistant Professor (Tenure Track) of Data Science for Bioengineering and Biomedicine. The successful candidate will build a strong and visible research program in the development of data science methods and tools for heterogeneous data characterizing complex biosystems. A candidate capable of advancing statistical and computational modeling of large-​scale bioengineering and biomedical data and translating models, methods, and findings into clinical applications is sought. Possible research topics include, but are not limited to, sustainable data science for emerging bioengineering approaches, data integration and data fusion, and biomedical data science for advanced therapies. Candidates should have a doctoral degree in Data Science, Computational Science, Computational Biology, or related disciplines, and demonstrated evidence of the ability to develop novel statistical, computational, and machine learning methods for biomedical datasets. Successful candidates have a strong publication record reflecting innovative, interdisciplinary, translational, and collaborative approaches to important problems in biomedicine. Commitment to teaching and the ability to lead a research group are expected.

Read the full job announcement on ETH Zurich's website.


*Please note the above position is not associated with the BRCCH. Those interested in this position must apply through ETH Zurich's online faculty recruiting portal.