Assistant Professor of Machine Learning in Digital Health

Digitalhealthnews; Nürnberg; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Benefits dieser Stelle

Career development

Mentoring

Research budget

Zusammenfassung

A prominent research university in Germany is seeking an Assistant Professor of Machine Learning in Digital Health. The successful candidate will establish and lead an independent research group and actively participate in teaching. Candidates with a strong background in AI and relevant teaching experience are preferred. The role offers a supportive work environment and a commitment to academic excellence, with applications due by February 8, 2026.

Qualifikationen

• Proven ability to set up and lead an independent research group.
• Relevant teaching experience in digital health or AI.
• Commitment to excellence in teaching.

Aufgaben

• Lead an independent research group in Biomedical Engineering.
• Participate in teaching B.Sc. Artificial Intelligence and Medical Engineering.
• Pursue third-party funding and carry out administrative duties.

Kenntnisse

Digital radiology

Generative AI for medical imaging

Digital patient twin

Data-driven therapy decisions

Sustainability in healthcare

Medical robotics

Goal-driven agentic AI

Autonomous medical imaging

Design of AI-enhanced medical devices

Machine learning models

Embedded AI

Privacy aware AI

Foundations of machine learning

Molecular modeling

Ausbildung

Outstanding doctoral degree

University degree

Jobbeschreibung

Assistant Professor of Machine Learning in Digital Health

Location: Erlangen / Nuremberg, Germany. Job Type: Full-Time. Employer: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). 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.

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 Artificial Intelligence in Biomedical Engineering with a special focus on Digital Health in research and teaching. We seek applicants 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 in Biomedical Engineering with a special focus on Digital Health can also outline their fit to the existing structures at FAU in their application.

Your responsibilities will furthermore entail setting up and leading an independent research group in the department AIBE. Your willingness to participate in particular in the degree programs B.Sc. Artificial Intelligence and Medical Engineering is mandatory. The appointment includes secondary membership of the Faculty of Medicine.

The successful candidate will be able to demonstrate initial academic achievements and the capacity for independent research at the highest international standards. They are required to have a university degree, an outstanding doctoral degree and 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 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 also be extended due to periods of supporting a family or caring for a family member. 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.

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.

In its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusive approach, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity. 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 concept with 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 [e-mail] with any questions.

Apply for this job.