Assistant Professor (Tenure Track) of Data Science for Bioengineering and Biomedicine

ETH Zurich
Department of Biosystems Science and Engineering
Switzerland Basel


The Department of Biosystems Science and Engineering (D-​BSSE, at ETH Zurich invites applications for the above-​mentioned position. D-​BSSE is located in Basel, the heart of the BioValley area providing excellent opportunities for collaboration within this strong life science research community at the academic, clinical, and pharmaceutical industry level.


The future Assistant Professor is expected to 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.

Start date

To be determined

How to Apply

Assistant professorships have been established to promote the careers of younger scientists. ETH Zurich implements a tenure track system equivalent to that of other top international universities.

ETH Zurich is an equal opportunity and family-​friendly employer, values diversity, and is responsive to the needs of dual-​career couples.

Please apply online:

Applications should include a curriculum vitae, a list of publications, a statement of future research and teaching interests, a description of the leadership philosophy, and a description of the three most important achievements*. The letter of application should be addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 15 August 2023.