Postdoctoral Position in Machine Learning for Health in Zürich

100%, Basel, temporary

The Department of Biosystems Science and Engineering (D-BSSE) 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.

One postdoctoral position in Machine Learning for Health is now available in Prof. Karsten Borgwardt's Machine Learning and Computational Biology lab.

Prof. Karsten Borgwardt and the members of his Machine Learning and Computational Biolog Lab are interested in the development and application of machine learning algorithms for data analysis in medicine and biology.

Biomedical topics of interest include, but are not limited to: Prediction of clinical complications, phenotype prediction from molecular data and health record data, biomarker discovery in longitudinal clinical data, automation of clinical diagnoses through machine learning, and genome-wide association studies.

Machine learning topics include, but are not limited to: mining and learning on time series and graphs, kernel methods, graph kernels, multiple testing correction in ultra-high-dimensional spaces, feature selection in structured spaces, deep learning, and causal inference. 

The lab is the coordinating node of a European Marie Curie Initial Training Network for "Machine Learning Frontiers in Precision Medicine" (2019-2022) and together with the University Hospital Basel, the coordinating node of the "Personalized Swiss Sepsis Study", a Switzerland-wide consortium trying to predict Sepsis in Intensive Care Units. 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. 

Applicants should be highly motivated and creative, show an exceptional track record, and hold a doctoral degree in Computer Science, Bioinformatics, Engineering, Mathematics, Statistics, or related fields, and be interested in working in an interdisciplinary environment at the interface of Machine Learning and Biomedicine, in particular, in algorithm development for large-scale data analysis problems in biology and medicine. The position offers the opportunity to gain leadership and supervision experience in joint projects with younger scientists.

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.