University professorship (all genders) for AI applications in diagnostic radiology at pay scale W2 in cooperation with the Fraunhofer Institute for Digital Medicine MEVIS

We are the University Medical Center Hamburg-Eppendorf (UKE) - and we stand for excellent competence in research, teaching and comprehensive healthcare in our clinics. Every day, our approximately 15,300 employees strive anew to make the world a little healthier with their contribution.

It is our aspiration to be one of the leading university hospitals - and at the same time the best employer in our industry. At UKE, for example, we firmly believe that successful and fulfilling work should be in harmony with employees' personal needs and individual lifestyles. And as diverse as these are, so is our range of individual solutions.

University professorship (all genders) for AI applications in diagnostic radiology at pay scale W2 in cooperation with the Fraunhofer Institute for Digital Medicine MEVIS
Fulltime | Location: Hamburg-Eppendorf | UKE_Zentrum für Radiologie und Endoskopie

This position (reference number FK03-316/2) is initially to be filled for 5 years from the next possible date.

• Application of artificial intelligence methods in diagnostic radiology, including nuclear medicine procedures and interventional radiology.
• Development of methods and tools in automated quantitative image data analysis
• Networking of the fundamentals of AI-supported computer science methods and applied radiology science
• Joint development and support of the infrastructure for research with radiological data at the UKE and in the collaboration framework of national university medicine RACOON
• Strengthening of the cooperation between the Faculty of Medicine, the University Medical Center Hamburg-Eppendorf and the Fraunhofer Institute for Digital Medicine MEVIS
• Development and design of collaborations with science and industry

Teaching commitments
Teaching load according to the Teaching Obligation Regulation for Hamburg Institutions of Higher Education [LVVO] in its currently valid version. A reduction in the teaching load is governed according to Sections 15 et seq. LVVO.

• Eligibility requirements in accordance with Section 15 of the Hamburg Higher Education Act [HmbHG]: a degree and/or doctorate in health informatics or a related subject and proof of a postdoctoral teaching qualification or equivalent achievement
• Proof of outstanding publications in one of the numerous image-data-supported AI applications in clinical radiology, e.g. cardiovascular and quantitative metabolic diagnostics

Further criteria:
The professorship aims to support outstanding scientists who are seeking a productive future in the field of AI research in university institutions by linking university and non-university research.

Experience in research in the fields of applied AI in healthcare and the successful acquisition of research contracts, in particular in the industrial sector and from public funding organisations, will be highly rated.

• An innovative and family-friendly working environment in the heart of Hamburg (collaboration with childcare providers, free childcare during school/kindergarten holidays)
• Opportunity to participate in extensive training and continuing education programs at our UKE Academy for Training and Career as well as in a wide range of introductory events
• An attractive company pension scheme and access to a diverse spectrum of award-winning health programs and preventive healthcare measures