Tenure-track assistant professor “Machine Learning in the Life Sciences”

Tenure-track assistant professorship at the Medical University of Vienna to start a new research group in AI and machine learning for medicine and the life sciences. Possible directions include new AI/ML methods for fundamental or clinical research in any area of medicine, human biology and disease, neuroscience or cognitive science. Others include biology-inspired or clinical AI/ML methodology, analysis of large real-world patient populations, healthcare AI, disease prevention and healthy ageing; a strong computational background and novel methods are sought.

The appointee joins the Comprehensive Center for AI in Medicine on a dual appointment with a unit such as the AI Institute, the Computational Imaging Research Lab or a clinical or preclinical department. The university will endorse the appointee's application to the WWTF 2027 Vienna Research Groups call “AI/ML for Vienna”, worth up to EUR 1.8 million over six to eight years. No undergraduate teaching is required; graduate teaching and curriculum development are possible.

PhD within the last eight years as of 2 March 2027 (care duties may extend this); usually postdoctoral experience, though exceptional candidates finishing a PhD are considered; WWTF VRG guidelines apply. Applications in English as a single PDF to the address on the posting: CV, publication list, five key publications, research and teaching summary, research concept, three referees, plus the application fact sheet and two supplementary tables.