Junior Professor (W1, tenure track) in Computational systems medicine in high resolution spatial biology bei Universitätsklinikum Aachen AöR

Faculty of Medicine/Uniklinik RWTH Aachen

RWTH Aachen University is one of Germany’s pre-eminent Universities of Excellence and is renowned for its high-quality teaching and world-class research. Assuming profound responsibility towards society, RWTH addresses bold scientific questions and translates its knowledge into meaningful applications. RWTH strives for the convergence of knowledge, methods, and findings and integrates in-depth disciplinary knowledge within the interdisciplinary research consortia established in its eight profile areas. The University’s dynamic, creative, and international environment encompasses efficient research networks and institutionalized collaborations. With its innovative RWTH Aachen Campus project, the University boasts one of the largest technology-oriented research environments in Europe.

Junior Professor (W1, tenure track) in Computational systems medicine in high resolution spatial biology

This is a tenure-track junior professorship leading to a tenured W2 position. For further information about the tenure track process, please visit www.rwth-aachen.de/tenuretrack

We are inviting applications for a junior professor position in the area of computational systems medicine in high resolution spatial biology, to be filled by January 1, 2025. The appointee is to represent this subject in research and teaching. The professorship should develop new computer-aided and artificial intelligence procedures to enable the integration of multimodal single-cell OMICS and in particular spatial OMICS (proteome, transcriptome) and image data with clinical data and disease processes. The research should focus onto pathomechanisms and the development of new biomarkers as well as the identification of new therapeutic targets. The expansion of a nationally and internationally visible research environment in the field of spatial biology of phase transitions and organ interactions in the organ systems heart, kidney, bone marrow and gastrointestinal tract is expected.

Interdisciplinary scientific co-operation with other departments and clinics of the Medical School, with the Institute of Biomedical Technologies (IBMT) and with other technical disciplines are encouraged. In addition, cooperation with the Faculty of Mathematics, Computer Science ans Natural Sciences in the field of Computer Science in research and teaching is mandatory. The participation in the Center for Computational Life Sciences (CCLS) and close cooperation with the Institute for Computational Genomics and the Center for Research on Phase Transitions in Chronic Diseases (CPCE) are desired. The professorship is expected to acquire its own third-party funding and to cooperate with the existing research networks (e.g. SFB TRR 219, SFB 1382, KFO 344, KFO 5011, IRTG 2150, GRK 2375, GRK 2415, GRK 2610, PAK 961, CIOABCD, JARA, IZKF AACHEN, the BMBF networks FibroMap and CureFib). In addition, an active commitment in the new medical student’s curriculum of the Medical Faculty (“Modellstudiengang Medizin Aachen”) is expected. The teaching should strengthen our educational efforts and training in medicine and in the natural sciences with a special focus on computational life sciences.

Candidates should have a university degree and a particular ability to undertake academic work, which is generally demonstrated by an outstanding doctorate. Teaching ability and dedication are essential and the application should include proof of this. Fluent German is not required to start the position but the successful candidate will be expected to hold classes in German within the first 5 years.

Please apply online via our appointment portal:

www.berufungsportal.rwth-aachen.de

The deadline for applications is November 7, 2024.

Contact:

Dekan der Medizinischen Fakultät der RWTH Aachen, Univ.-Prof. Dr. S. Uhlig, Pauwelsstraße 30, 52074 Aachen.

Please note that communication via unencrypted e-mail poses a threat to confidentiality as it is potentially vul-nerable to unauthorized access by third parties. For information on the collection of personal data, please visit www.rwth-aachen.de/gdpr-information

This position is also available as part-time employment per request.
We welcome applications from all suitably qualified candidates regardless of gender. RWTH Aachen University is certified as a family-friendly university and offers a dual career program for partner hiring. We particularly welcome and encourage applications from women, disabled people and ethnic minority groups, recognizing they are underrepresented across RWTH Aachen University. The principles of fair and open competition apply and appointments will be made on merit.