The Technical University of Munich (TUM) invites applications for the position of
Professor in » Health Informatics «
W2 Tenure Track Assistant Professor (with tenure track to W3) or W3 Associate/Full Professor; to begin as soon as possible.
The professorship will be assigned to the TUM School of Medicine and will be part of the Institute for AI and Informatics in Medicine at the University Hospital Klinikum rechts der Isar. TUM School of Medicine is one of Germany’s top medical schools in research and in teaching. The Institute focuses on artificial intelligence, image analyses, translational information processing, information integration, and information security. It is coordinating the consortium DIFUTURE (Data Integration for Future Medicine), and it is participating in CRC 1371. The professor will work in close collaboration with existing professorships at the institute and other research areas within the Klinikum rechts der Isar and the TUM, but also with the in-house health care facilities.
The responsibilities include research and teaching as well as the promotion of early-career scientists. We seek to appoint an expert in the development of decision support systems to improve quality, safety, efficiency, and effectiveness of health care. Data integration, improvement of data quality, and machine learning will play a major role. Regulatory frameworks will need to be considered. A major focus will be the development of algorithms to specifically support clinical decision-making processes. In addition, we aim to develop a “Learning Health System” that generates knowledge from clinical processes and brings it into clinical use in a focused and structured manner with the aim of improving clinical processes (from bedside to bench and back).
Teaching responsibilities include courses in the university’s bachelor and master programs.
We are looking for candidates who have demonstrated excellent achievements in research and teaching in an internationally recognized scientific environment, relative to the relevant career level (please see
www.tum.de/en/faculty-recruiting-faq/ for further information).
A university degree and an outstanding doctoral degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad, full commitment to do interdisciplinary, and the proven ability to attract third-party funding (e.g. DFG, EU, AiF) is expected.
Based on the best international standards and transparent performance criteria, TUM offers a merit-based academic career path for tenure track faculty from Assistant Professor through a permanent position as Associate Professor, and on to Full Professor. The regulations of the TUM Faculty Recruitment and Career System apply.
TUM provides excellent working conditions in a lively scientific community, embedded in the vibrant research environment of the Greater Munich Area. The TUM environment is multicultural, with English serving as a common interface for scientific interaction. TUM offers attractive and performance-based salary conditions and social benefits.
The TUM Munich Dual Career Office (MDCO) provides tailored career consulting to the partners of newly appointed professors. The MDCO assists the relocation and integration of new professors, their partners and accompanying family members.
TUM is an equal opportunity employer and explicitly encourages applications from women. The position is suitable for disabled persons. Disabled candidates with essentially the same qualifications
and scientific performance as other candidates will be given preference. Application documents should be submitted in accordance with TUM’s application guidelines for professors. These guidelines
and detailed information about the TUM Faculty Recruitment and Career System are available at www.tum.de/faculty-recruiting. Here you will also find TUM’s information on collecting and processing
personal data as part of the application process.
Please send your application no later than February 25, 2022 to the dean of TUM School of Medicine, Prof. Bernhard Hemmer, Ismaninger Str. 22, 81675 Munich,
Email address for applications:email@example.com