The University of Bayreuth is a research-oriented university with internationally competitive, interdisciplinary focus areas in research and teaching. The Faculty of Life Sciences: Food, Nutrition and Health at the University of Bayreuth is currently seeking to appoint a
Junior Professor of
Control of Movement in Biology & Robotics
(salary grade: W1) with tenure track to W3
to commence as soon as possible as a fixed-term civil service position.
We are seeking an exceptional early career scientist interested in understanding how the biological or artificial brain can learn to control complex movements and use these insights to help people live better lives in health and disease through robotic technology. We are seeking exceptional candidates with research backgrounds in a wide area of domains spanning from human motor neuroscience and human movement science, computational motor control, biomimetics, biorobotics and neurorobotics, robot learning, human-robot-interaction, human interfacing, neural engineering, rehabilitation or healthcare robotics. The faculty position is situated in the to-be-established English-speaking Institute of Artificial & Human Intelligence at the University of Bayreuth and is hosted by the newly established Faculty of Life Sciences at the brand-new Campus Kulmbach. An interest in translational applications with patients and clinical validation is most welcome and supported by a rich ecosystem of clinical institutions with large patient cohorts of movement disorders and paralysis. Secondary membership in one of the other faculties of the University of Bayreuth is possible.
Teaching expectations comprise contributing to our to-be-established Master in AI Science, taught in English, as well as to courses of the Faculty of Life Sciences concerning topics related to data science, healthcare technology, life sciences and digital technologies. The expectations consist of a strong track record in publications (we are mindful that these may span both journal papers and conference proceedings depending on the background), a strong future research vision, evidence of fund-raising ability, and interest in translation and application of research.
In addition, we expect an initial track record in teaching with evidence of capabilities, as well as an initial track record in contributions and recognitions to one’s scientific community (as evidenced by prizes and awards, invited lectures, organisation of workshops, etc.). Last but not least, we expect that candidates are not only open to and excited by the prospect of establishing their own professorship but also to the active participation in the development of an exciting new research institute and the expansion of our faculty’s international reputation for excellence. The ability to teach in English is expected. International applicants must be willing and able to teach in German in the medium term.
The complete vacancy notice including further information on the formal employment requirements can be found at
www.uni-bayreuth.de.
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, Prof. Dr Janin Henkel-Oberländer, and submitted via
https://uni-bayreuth.berufungsportal.de by
4 January 2023. Applicants are welcome to direct questions and requests for further information to the dean (
dekanin.leg@uni-bayreuth.de) or informal queries to Prof. Dr. Aldo Faisal (
aldo.faisal@uni-bayreuth.de), as lead for setting up the Institute of Artificial & Human Intelligence. Application documents will be deleted in accordance with data protection law following the conclusion of the appointment process.