Description
The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an
Assistant Professor of Machine Learning in Digital Health (salary group W1)
at the Department of Artificial Intelligence in Biomedical Engineering (AIBE). The position is planned to be filled by theearliest possible starting date for an initial period of three years. Upon successful evaluation, the appointment will beextended for another three years.
We seek to appoint a top early career scholar / scientist with an internationally visible profile in research and teaching.We are looking for a candidate with the potential to build a world-leading, independent research program in the field.You will be responsible for appropriately representing the field of machine learning in digital health and artificialintelligence in biomedical engineering with a special focus on digital health in research and teaching. We seekapplicants having an independent profile in one or several of the following areas:
- Digital radiology
- Generative AI for medical imaging
- Digital patient twin
- Data-driven therapy decisions and response monitoring
- Sustainability in healthcare: designing for circularity
- Medical robotics
- Goal-driven agentic AI
- Autonomous medical imaging
- Design of AI-enhanced medical devices
- Machine learning models and algorithms for medical signal processing
- Embedded AI
- Privacy-aware AI
- Foundations of machine learning
- Molecular modeling
However, applicants with a different profile in machine learning in digital health and/or artificial intelligence inbiomedical engineering with a special focus on digital health can also outline their fit to the existing structures atFAU in their application.
Your responsibilities will furthermore entail setting up and leading an independent research group in thedepartment AIBE. Your willingness to participate in particular in the degree programs B.Sc. Artificial Intelligenceand Medical Engineering is mandatory. The appointment includes secondary membership of the Faculty ofMedicine.
The successful candidate will be able to demonstrate initial academic achievements and the capacity forindependent research at the highest international standards. They are required to have a university degree, anoutstanding doctoral degree, and relevant teaching experience with a commitment to excellence in teaching. Nomore than four years should have passed between the conferral of the doctoral degree and deadline of the callfor applications; this period is extended to a maximum of seven years in the field of medicine or clinicalpsychology and may also be extended due to periods of supporting a family or caring for a family member. Thedate of the doctoral certificate is decisive.
The successful candidate is expected to demonstrate academic leadership, take a proactive approach to raisingthird-party funding, and carry out administrative duties. FAU aims to create a supportive environment forstudents and expects its teaching staff to be present during lecture periods. Candidates who are able and willingto teach in both English and German are preferred.
FAU offers career development, mentoring, and an attractive initial research budget. Based on internationalstandards and transparent performance agreements, FAU ensures a fair evaluation process.
In its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusiveapproach, which supports and encourages all under-represented groups, promotes an inclusive culture, and valuesdiversity. FAU is a family-friendly employer and responsive to the needs of dual career couples.
Please submit your complete application documents (CV, list of publications, teaching concept and research conceptwith max. 2 pages each, list of third-party funding, copies of certificates and degrees) online at https://berufungen.fau.de by February 8, 2026, addressed to the Dean of the Faculty of Engineering. Please contact tf-dekan@fau.de with any questions.
