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Full Professorship (W3) in Medical Data Science and Services
Universitätsklinikum Essen / Universität Duisburg-Essen / University Hospital Essen / University of Duisburg-Essen
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 application 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 inmedicine.
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
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 arewelcome.
Applications with the usual supporting documents [curriculum vitae, list of scientific publications (see
http://www.uni-due.de/imperia/md/content/medizin/formblatt_aufbau_schriftenverzeichnis.pdf)], documents on scientific and professional career,
certificate copies, information on third-party funding, participation in academic self-administration, past teaching
experience and concepts for teaching, and 5 key publications should be submitted by email
(email@example.com) to Univ.-Prof. Dr. J. Buer, Dekan der Medizinischen Fakultät,
Universitätsklinikum Essen, Hufelandstr. 55, 45147 Essen.
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