Was die Firma über den Job sagt

Better together. For life.

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

Main tasks

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.

Recruitment requirements

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.

Our Oﬀer

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

Contact

We look forward to receiving your complete application with a tabular CV, structured publication list, research concept, teaching concept, and equality concept aligned to Hamburg and the Fraunhofer MEVIS, as well as proof of third-party funding and other references and certiﬁcates. Please email your application, quoting the reference number FK03-316/2, by 5nd Dec 2024 to berufungen@uke.de (as a pdf ﬁle).

Please note that employment is only possible if there is complete proof of immunization or immunity against the measles virus in accordance with the applicable (legal and medical) requirements. You must provide proof of this by means of appropriate documents (e.g. vaccination certificate) before commencing employment.

We oﬀer a working environment providing equal opportunities regardless of age, gender, sexual identity, disability, origin or religion. To emphasise this, we have joined the Diversity Charter. It is our explicit aim to increase the proportion of women in leadership positions, especially among scientiﬁc personnel in the areas of research and teaching. Women with equivalent qualiﬁcations will be primarily considered. The same applies if a gender is underrepresented in the area of the vacant position. Severely disabled persons with the same of aptitude, qualiﬁcations, and professional performance will be given preference.