Published: Wednesday, 15 May 2019 11:43
We are one of the youngest universities in Germany and think in terms of unlimited possibilities instead of possible limitations. Located in the heart of the Ruhr metropolis, our 11 faculties develop ideas for the future. We are strong in research and teaching, we embrace diversity, promote academic potential, and we are highly committed to educational equality.
University Medicine Essen is on its way to becoming a SMART Hospital, where digital technologies will enable employees to further improve patient care, research and education. We are convinced that truly personalized medicine can only be realized, if we combine digitization in medicine with artificial intelligence. We have therefore decided to establish an Institute for Artificial Intelligence (AI) in Medicine. In its founding stage, this institute will be staffed with four professorships dealing with different aspects of AI in medicine. We envision these professorships to synergistically lead the successful development of our innovative concept. It is our aim to identify highly motivated individuals with a broad and complementary range of expertise with whom we undertake this journey.
The Medical Faculty of the
University of Duisburg-Essen
is inviting applications for a
Full Professorship in
Medical Data Science and Services
(W3 BBesO grade post)
The position is newly established and will work in concert with three additional professorship positions (two of them within the framework of the Cancer Research Center Cologne Essen (CCCE)), all related to the use of artificial intelligence in medicine. Upon successful development perpetuation of the professorship is envisioned.
Core tasks of the applicant are (i) enhancing the potential of medical data by enabling interoperability between different systems and locations by means of structurization, harmonization, and annotation (ii) data aggregation of next generation information systems like bioimaging, outputs from multi-omics analyses, and others (iii) strategies for anonymization and nationwide valid patient's consent and data access management (iv) data protection-compliant distributed analytics over multiple national and international sites.
The future job holder should have several years of professional experience in the field of data analysis. Excellent knowledge of relational and non-relational database systems is desirable. Further prerequisites are experience in the development and implementation of cooperations with industry as well as scientific productivity. The applicant should have experience with AI techniques and neuronal networks. Ideally, the applicant is familiar with NLP and related methods.
The future chair will also contribute to the main research focuses of the Medical Faculty and will collaborate with and contribute to ongoing and evolving research consortia. Furthermore, the future chair will possess dedicated teaching skills and use innovative methods in teaching and post-graduate qualification.
Qualifications according to § 36 Hochschulgesetz NRW are required and successful experience with competitive third-party funding applications are mandatory. As the University of Duisburg-Essen puts special emphasis on the quality of academic teaching, concepts on the participation in teaching activities with regard to the profile of the University Duisburg-Essen should be provided.
The Medical Faculty in Essen promotes research particularly in the following areas: Cardiovascular Disease, Oncology, Transplantation Medicine and Translational Neuro- and Behavior Sciences, as well as the bridging disciplines of Immunology and Infectious Diseases. This position is dedicated to the area of Oncology.
The position will be available at the earliest.
Application deadline: 13.06.2019
The University of Duisburg-Essen aims to increase diversity among its faculty members (see http://uni-due.de/diversity) and strives to increase the number of women in such positions; therefore, we especially encourage women with relevant qualifications to apply. Women with the appropriate qualifications will receive preferential consideration. Applications from severely disabled candidates according to § 2 Abs. 3 SGB IX are welcome.
Furthermore, we need you to fill in our application form at https://www.uni-due.de/med/de/organisation/bewerbungsbogen.php. Further information on the position and its embedding in the University of Duisburg-Essen as well as in the Faculty can be found at https://www.uni-due.de/med/de/organisation/berufungen.php. For general information please visit: https://ai.uk-essen.de.