Assistant Professor of Machine Learning in Digital Health

Overview

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 the earliest possible starting date for an initial period of three years. Upon successful evaluation, the appointment will be extended for another three years.

Responsibilities

We seek to appoint a top early career scholar / scientist with an internationally visible profile in research and teaching. The candidate should have the potential to build a world-leading, independent research program in the field and will be responsible for appropriately representing the field of machine learning in digital health and artificial intelligence in biomedical engineering with a special focus on digital health in research and teaching. Responsibilities include setting up and leading an independent research group in the department AIBE and participation in degree programs B.Sc. Artificial Intelligence and Medical Engineering (mandatory). The appointment includes secondary membership of the Faculty of Medicine.

• 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

Applicants with a different profile in machine learning in digital health and/or artificial intelligence in biomedical engineering with a special focus on digital health can also outline their fit to the existing structures at FAU in their application.

Qualifications and Selection Criteria

The successful candidate will be able to demonstrate initial academic achievements and the capacity for independent research at the highest international standards. Requirements include:

• University degree and an outstanding doctoral degree
• Relevant teaching experience with a commitment to excellence in teaching
• No more than four years should have passed between the conferral of the doctoral degree and the deadline of the call for applications; this period is extended to a maximum of seven years in the field of medicine or clinical psychology and may be extended due to periods of family or caregiver responsibilities
• The date of the doctoral certificate is decisive

The successful candidate is expected to demonstrate academic leadership, take a proactive approach to raising third-party funding, and carry out administrative duties. FAU aims to create a supportive environment for students and expects its teaching staff to be present during lecture periods. Candidates who are able and willing to teach in both English and German are preferred.

Offer and Environment

FAU offers career development, mentoring, and an attractive initial research budget. Based on international standards and transparent performance agreements, FAU ensures a fair evaluation process. FAU is committed to equality of opportunity and to a proactive and inclusive approach, supporting all under-represented groups, promoting an inclusive culture, and valuing diversity. FAU is a family-friendly employer and responsive to the needs of dual career couples.

Application

Please submit your complete application documents (CV, list of publications, teaching concept and research concept with max. 2 pages each, list of third-party funding, copies of certificates and degrees) online at by February 8, 2026 , addressed to the Dean of the Faculty of Engineering. For questions, please contact