Postdoctoral Researcher in Machine Learning in Zürich

100%, Zurich, temporary

The Medical Data Science group headed by Professor Julia Vogt at the Department of Computer Science is seeking 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, probabilistic modeling, deep learning, time-series modelling, generative models, natural language processing and integrating multimodal 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.

Interested postdoc applicants should have a Ph.D. degree in Computer Science, Mathematics, Statistics, or related fields, with a publication record in top conferences such as NeurIPS, ICML, ICLR, AISTATS, AAAI, KDD, JMLR, 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.

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.