The Medical Data Science Group at ETH Zurich, led by Julia Vogt, is looking for a highly motivated postdoctoral researcher with a strong machine learning background. Applicants should be interested in working in an interdisciplinary environment at the interface of Machine Learning, Medicine and Health Care. 

The postdoctoral researcher will interact and collaborate closely with both faculty and graduate students in our research group, as well as with interdisciplinary collaborators from the medical domain. He/she will work on foundational machine learning challenges and will lead projects. The postdoc will have the possibility to participate in basic, translational science that brings novel machine learning techniques into impactful biomedical applications. Machine learning topics of interest include, but are not limited to, interpretable and explainable models, medical imaging, probabilistic modeling, deep learning, time-series modelling, generative models, and integrating multi-modal data. Our group conducts research at the intersection of machine learning and healthcare, and our research topics are inspired by the challenges which arise by dealing with medical data.

Qualifications

Interested postdoc applicants should have a Ph.D. degree in Computer Science, Bioinformatics, Mathematics, Statistics, or related fields, with a strong publication record in top conferences such as NeurIPS, ICML, ICLR, AISTATS, AAAI, KDD, JMLR, MICCAI, TMI etc. Experience in working on medical or biological data is not required, but applicants must bring a keen interest in the problems of the field.

Applications must be submitted through the ETH Job Portal (https://jobs.ethz.ch/job/view/JOPG_ethz_az8OpFBfOJ69g58bff)