W1 TT W2 professorship in Data Synthesis and Foundation Models in Medicine

We are seeking an outstanding candidate who has demonstrated excellence in research in one of the fields of data synthesis or foundation models in medicine and is capable of representing this field in both research and teaching. To this end, the successful candidate must possess a PhD and a track record of outstanding scientific achievements in one of the following areas:

• Generation of synthetic textual, tabular, or multimodal medical data

• AI-based analysis using foundation models in medicine

Scientific expertise and experience in the areas of multimodal language and text processing using Large Language Models, AI-based methods for the semantic integration and structuring of medical data, and methods for making medical data usable for research purposes while ensuring data security are advantageous. Preference will be given to applications that demonstrate not only outstanding scientific achievements but also a successful track record of securing external funding, participation in interdisciplinary research consortia, and experience collaborating with clinical and industrial project partners.