Full Professor of Computational, Clinical, and Cognitive Neuroscience

at salary grade W3 to commence as soon as possible. This is a permanent civil service position. We are seeking a full professor to launch a newly established professorship focused on problems at the interface of cognitive neuroscience, computational neuroscience, and clinical neuroscience. Methodological approaches may comprise computational modelling, neural data analysis, e.g. from fMRI, wearable or mobile brain imaging methods, as well as behaviour based experiments (online or in-person). The professorship’s lab facilities will be suitable for human experimental work, and a 3T fMRI system is already included in the plan for the newly established institute. The research facilities which are already established feature a one-of-a-kind Living Lab consisting of two full flats with full digital sensor capabilities enabling experiments in real-life settings (real-world neuroscience) coupled with sensing and analysis technologies developed on site. The professorship is situated in the to-be-established English-speaking Institute of Artificial & Human Intelligence at the University Bayreuth and is hosted by the brand-new Faculty of Life Sciences: Food, Nutrition and Health, Campus Kulmbach. Teaching expectations comprise contributing to the 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, life sciences, decision making, and behaviour. It is possible for Professors in our faculty to apply for a second membership in other faculties of the university. An interest in translational applications with patients and clinical validation is most welcome. A cooperation with clinical institutions with some of the largest German patient cohorts spanning multiple neurological and psychiatric disorders is planned. Our 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), an established and growing research vision, a track record of fund-raising and an interest in translation and clinical application of one’s research. In addition, we expect an excellent track record in teaching, mentoring, and training including evidence of capabilities and successes, as well as a 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.