The Chair of Digital Health at FAU Erlangen-Nürnberg invites applications for a
Senior Researcher or Postdoc –
Machine Intelligence and Biomedical Modelling.
Full time academic position starting as soon as possible, remuneration according to E13/A13 TV-L Bavaria regulations.
The successful candidate will conduct fundamental and applied research in machine learning methods related to biomedical modelling, wearable computing, and IoT in personalised medicine. Illustrations of potential research directions can be found at the chair’s website and publications. The successful candidate will work on and contribute to scientific publications in leading journals. The candidate may pursue a habilitation thesis within approx. four years of appointment. Additional responsibilities include:
- Establish a strong research track in the field of machine intelligence and embedded/IoT systems, evidenced by publications in leading scientific journals.
- Develop proficiency in research funding acquisition.
- Establish successful collaborations with different institutes and chairs at FAU and the UH Erlangen, as well as with national and international partners.
- Contribute to running the technology laboratories of the chair.
- Guide and advise students at all levels, including bachelor, master, and PhD.
- Assume management and organisational responsibilities at the chair and in collaborative research projects of the chair.
We look for a candidate with a strong and broad expertise in machine learning methods and educational background in computer science, electrical engineering, or similar. The successful candidate should have published in top-ranked international scientific journals. A university degree and outstanding doctoral degree (Ph.D.), pedagogical aptitude, and proficient English language skills are prerequisites for this position. Good command of German or documented aspiration to acquire the German language is expected. Experience in establishing and/or running laboratory operations and funding acquisition is a plus.
Founded in 1743, FAU has a rich history. It is a strong research university with an international perspective and one of the largest universities in Germany, with 39.868 students, 263 degree programmes, 4,000 academic staff (including over 576 professors), 177,6 million euros (2016) third-party funding, and 500 partnerships with universities all over the world. Teaching at the University is closely linked to research and focuses on training students in both theory and practice to enable them to think critically and work independently. The research strikes the perfect balance between a theoretical approach and practical application. FAU’s outstanding research and teaching is reflected in top positions in both national and international rankings. More information on FAU and the Chair of Digital Health can be found online: FAU, Chair of Digital Health.
FAU is a member of the Best Practice Club “Family and University” and promotes equal opportunities. Female candidates are specifically encouraged to apply. The position is open to start immediately or at a negotiated date.
Please send your application including cover letter with interests and background (max. 1 page), plus full CV and transcripts, as one PDF document via e-mail (see contact information below) to Prof. Dr. Oliver Amft, Chair of Digital Health, FAU Erlangen-Nürnberg, Henkestrasse 91, 91052 Erlangen.
Please note that the candidate evaluation involves one or more scientific-technical presentations and interview appointments to be held via teleconferencing. Applications sent via e-mail will be confirmed within a week. Furthermore, please note that applications not complying with the above requirements may neither be confirmed not considered.
If you have questions regarding this position offer, please contact Prof. Dr. Oliver Amft.