PhD Scholarships in Digital Health

The Friedrich-Alexander University Erlangen-Nürnberg (FAU) invites applications for

PhD Scholarships in Digital Health

Das Aufgabengebiet umfasst u. a.

The positions are open-topic within the framework of the “Digital Health Campus”, which is one of the strategic aims of our Digital Health Innovation Platform d.hip (Partners: FAU, Medical Valley, Siemens Healthineers, University Hospital Erlangen). Research goals will be defined with experienced partnering professors after an initial boarding phase. Possible fields of research could be, but are not limited to:

  • Ubiquitous, Wearable and Implantable Sensors and Systems for Medicine (eHealth/mHealth)
  • Human-Computer Interaction in Medicine
  • Neuromuscular Interfacing and Electromyography
  • Interventional Imaging and Computer Aided Surgical Procedures
  • Connected Healthcare, Telemedicine and Telepresence in Health Care
  • Medical Data and Knowledge Management, Scalable and Semantic Data Integration in Healthcare
  • Ontologies and Ontology-based Data Base Access in Medicine
  • Privacy and (Long Term) Security in Digital Health
  • Medical Image Computing
  • (Explainable) Artificial Intelligence in Healthcare
  • Bioinformatics (-omics Applications), Medical Big Data Analytics
  • Precision Medicine, Medical Decision Support Systems
  • P4 (Predictive, Preventive, Personalized, and Participatory) Medicine
  • Computer Aided Diagnosis
  • Virtual- and Augmented Reality Supported Rehabilitation, Training, and Diagnosis
  • Immersive and Digital Learning in Healthcare
  • Virtual-, Mixed- and Augmented Reality (XR)
  • Deep Learning for Computer Vision

Work Environment

You will be integrated in the thriving digital health environment at FAU, which is one of the largest universities in Germany. FAU has been ranked the most innovative university in Germany for the third year in a row, it is part of the cluster “Medical Valley” as well as the German “Digital Health Hub” in the metropolitan region of Nürnberg. FAU recently founded a new department on “Artificial Intelligence in Biomedical Engineering (AIBE)”. Detailed information is available upon request.

Notwendige Qualifikation

Candidates for this position should have a master or comparable degree in Computer Science or a related discipline (Medical Engineering, Electrical Engineering, …). Knowledge of one or several of the areas specified above is desired, and you should ideally blend this with an interest in real-world applications. Candidates should be proficient in English both in writing and in verbal discourse. All applicants need to show enthusiasm for research and team work.


Employment details and contact for application/questions:

The employment start date is April 1, 2021 (flexible within limits). Funding is available for 36 months, an extension is possible. Successful candidates will receive a scholarship that is designed to allow for full-time PhD research. Prospective applicants should apply with a cover letter (no longer than 1 page) and academic CV. Applications will be accepted until February 15, 2021, afterwards we will invite selected candidates for (online) interviews.

Inquiries: Prof. Bjoern Eskofier, Head of Dept. AIBE (bjoern.eskofier (a t)

Applications: Dr. Marlene Reuschel, Management of Dept. AIBE (marlene.reuschel (a t)


Dr. Marlene Reuschel

Department Artificial Intelligence in Biomedical Engineering (AIBE)

Dr. Marlene Reuschel
Department Artificial Intelligence in Biomedical Engineering (AIBE)


PhD Scholarships in Digital Health
Besetzung zum

Teilzeit / Vollzeit

Kontaktperson für weitere Informationen
Prof. Dr. Björn Eskofier
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Carl-Thiersch-Straße 2b
91052 Erlangen Bayern

Für alle Stellenausschreibungen gilt: Die Friedrich-Alexander-Universität fördert die berufliche Gleichstellung der Frauen. Frauen werden deshalb ausdrücklich aufgefordert, sich zu bewerben.

Schwerbehinderte im Sinne des Schwerbehindertengesetzes werden bei gleicher fachlicher Qualifikation und persönlicher Eignung bevorzugt berücksichtigt, wenn die ausgeschriebene Stelle sich für Schwerbehinderte eignet. Details dazu finden Sie in der jeweiligen Ausschreibung unter dem Punkt "Bemerkungen".

Bei Wunsch der Bewerberin, des Bewerbers, kann die Gleichstellungsbeauftragte zum Bewerbungsgespräch hinzugezogen werden, ohne dass der Bewerberin, dem Bewerber dadurch Nachteile entstehen.

Ausgeschriebene Stellen sind grundsätzlich teilzeitfähig, es sei denn, im Ausschreibungstext erfolgt ein anderweitiger Hinweis.