Connectionists: Postdoc position in Machine Learning with medical applications at ETH Zurich

[Vogt Julia]

Dear all,

The medical data science research group headed by Julia Vogt at ETH Zurich is seeking a highly motivated postdoctoral researcher with a strong machine learning background. The candidate 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, probabilistic modeling, deep learning, time-series modelling, generative models, medical imaging, 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. 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, 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://www.jobs.ethz.ch/job/view/JOPG_ethz_0WK51lGcbpUlrkIDCQ>: https://www.jobs.ethz.ch/job/view/JOPG_ethz_0WK51lGcbpUlrkIDCQ
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