The Institute of Artificial Intelligence in Medicine (IKIM) of the Medical Faculty of the University of Duisburg-Essen in Germany is looking for a Professor (W2) in Surgical AI

Friday 25th July 2025

Contact Email for the Job Positing jan.egger@uk-essen.de
Organization University Medicine Essen
Location Essen, Germany
Title The Institute of Artificial Intelligence in Medicine (IKIM) of the Medical Faculty of the University of Duisburg-Essen in Germany is looking for a Professor (W2) in Surgical AI
URL https://www.uni-due.de/imperia/md/images/med/forschungsbote/109532_uniklinik_essen_ki_hno_91-5_4c.pdf
Closing date Aug 17, 2025
Description The professorship is based at the Institute for Artificial Intelligence in Medicine (IKIM) of the Medical Faculty in Essen, Germany, and is intended to collaborate—conceptually, strategically, and substantively—with surgical disciplines like otorhinolaryngology and head and neck surgery. The aim is to build a bridge between AI-supported research and operative clinical practice, in order to develop, validate, and sustainably integrate new diagnostic and therapeutic procedures into clinical workflows—specifically within surgical and clinical medicine.
The appointed professor will play a key role in establishing an interdisciplinary research and transfer cluster, which connects AI innovation with concrete clinical challenges. A special focus will be placed on image-based diagnostics, speech and audio technology, intraoperative decision support, and patient-centered AI applications.
We are looking for a nationally and internationally recognized researcher with outstanding expertise in clinical or image-based artificial intelligence and proven experience in applying AI methods in medical and surgical contexts. Applicants should have a completed university degree and a doctorate in a relevant field (e.g., computer science, medical engineering, computational science, data science, or similar), as well as demonstrated experience in embedding AI technologies into clinical and surgical processes (e.g., surgical planning, PACS integration, robotics). A strong track record in clinically oriented research and securing third-party funding is expected.
Willingness to work in close collaboration with surgical departments—as part of a mutually reinforcing research and application cluster—is essential, as is alignment with the research priorities of the University of Duisburg-Essen (UDE) and particularly of the Medical Faculty.
The professorship includes the establishment and leadership of an independent section, which will serve as a translational bridge between data-driven research and patient-centered care.

Please send your application to Berufungen@uk-essen.de and fill in the questionnaire under
https://www.uni-due.de/med/de/organisation/bewerbungsbogen.php