The Department of Biosystems Science and Engineering (D-BSSE), located in Basel, is one of ETH Zurich's youngest departments and the only one located in Basel outside of the Zurich campus. It unites biologists, engineers, computer scientists, and mathematicians to work towards a quantitative understanding and purposeful engineering of complex biological systems. Karsten Borgwardt’s Lab at D-BSSE has openings in Machine Learning and Data Mining on Biomedical Data.
7 PhD and postdoc positions
Prof. Karsten Borgwardt’s Lab is interested in the development and application of machine learning and data mining algorithms for biomedical data analysis. It is the coordinating node of the European Marie Curie Initial Training Network for “Machine Learning for Personalized Medicine” (mlpm.eu) with 12 partner labs in 8 countries. Furthermore, the lab is supported by the Krupp Award for Young Professors 2013-2018 and a Starting Grant from the ERC backup scheme of SNSF 2015-2020.
Studying at ETH Zurich
New group members should be highly motivated and creative, show an exceptional track record, and have a background in Computer Science, Bioinformatics, Mathematics, Statistics, or related fields, and be interested in working in an interdisciplinary environment at the interface of Machine Learning and Biomedicine, in algorithm development for and/or applications of these algorithms to large-scale data analysis problems in biology and medicine. Alumni of the lab now hold positions which reach from faculty positions in mathematics to faculty positions in bioinformatics, which reflects the spectrum of research activities in the lab.
Prof. Karsten Borgwardt’s Lab is interested in the development and application of machine learning and data mining algorithms for biomedical data analysis. It is the coordinating node of the European Marie Curie Initial Training Network for “Machine Learning for Personalized Medicine” (mlpm.eu) with 12 partner labs in 8 countries. Furthermore, the lab is supported by the Krupp Award for Young Professors 2013-2018 and a Starting Grant from the ERC backup scheme of SNSF 2015-2020.
