Full Professor of Ambient Assisted Living & Medical Assistance Systems

Faculty of Mathematics, Physics & Computer Science

Application deadline:

The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching. In the context of setting up the new Upper Franconia Medical Campus, the Faculty of Mathematics, Physics & Computer Science at the University of Bayreuth is currently seeking to appoint a

Full Professor of Ambient Assisted Living & Medical Assistance Systems

at salary grade W3 to commence as soon as possible. This is a permanent civil service position.  

The professorship is integrated into the Upper Franconia Medical Campus, a recently established cooperation that is expected to become a permanent fixture in the region. The Upper Franconia Medical Campus serves to train physicians in the new degree programme "Human Medicine Erlangen/Bayreuth" at Bayreuth Hospital under the auspices of the Medical Faculty of the Friedrich-Alexander-University of Erlangen-Nuremberg. With this and other new professorships in medicine, the University of Bayreuth is creating an outstanding research environment at the Upper Franconia Medical Campus.  

Applicants should represent the field of Ambient Assisted Living and Medical Assistance Systems in research and teaching with one or more of the following focal points: IoT-based assistance systems, dynamic sensor systems, biometric systems, machine learning, compressed sensing and distributed IT security. The professor will complement and expand the research opportunities of the clinical professors of the FAU Faculty of Medicine at the Upper Franconia Medical Campus with his or her medical-related field of expertise to create a research profile that is perceived on a transregional level. Applicants should be able to demonstrate the ability to engage in interdisciplinary collaboration through appropriate publications. Experience in acquiring third-party funding and active participation in knowledge transfer is a prerequisite. International networking is desired. Scientific excellence should be proven by internationally relevant publications in the field of sensor technology and assistance systems. Relevant teaching experience and an active contribution to academic self-administration are expected. Teaching is to be provided primarily at the Upper Franconia Medical Campus. The ability to teach in German and English is expected.  

In addition to the general legal requirements, prerequisites for this position are a university degree, a doctoral degree, proven excellence in teaching, and a post-doctoral qualification to teach at a professorial level (Habilitation). Alternatively, evidence of equivalent scholarly achievement, for example as a junior professor or in a non-university environment, will also be considered.  Only applicants who are 51 years of age or younger can be hired as civil servants. Exceptions will only be made if there are urgent reasons for doing so (Art. 60 Abs. 3 BayHIG).  

The University of Bayreuth views the diversity of its staff as an asset and is expressly committed to the goal of gender equality. Female scholars and any persons who can help make the research and teaching profile of the university more diverse are strongly encouraged to apply. Applicants with children are highly welcome. The University of Bayreuth is a member of the best practice club Family at University, and it offers “dual career support” for career-oriented partners of highly qualified employees. In addition, an extended audit conducted by the German Rectors’ Conference (HRK) returned a favourable review for the University of Bayreuth’s commitment to internationalization. All qualifications being equal, applicants with disabilities will be given priority.  

Applications (CV including a list of publications, list of courses taught, experience obtaining external funding, as well as copies of certificates and diplomas) are to be addressed to the Dean of the Faculty of Mathematics, Physics & Computer Science Prof. Dr. Volker Ulm and submitted via https://uni-bayreuth.berufungsportal.de by 09.04.2023. Applicants are welcome to direct questions and requests for further information to the Dean at dekanat.mpi@uni-bayreuth.de. Application documents will be deleted in accordance with data protection law following the conclusion of the appointment process.