University of Basel Seeks Professor of Paediatric Digital Health Data Analytics

visual: University of Basel, Mark Niedermann

**Update 1 September 2023: Applications for this position have now closed.**

The  Faculty of Medicine of the University of Basel, Switzerland invites applications for an open rank position of Professor in Paediatric Digital Health Data Analytics to be embedded in the BRCCH.

The BRCCH is a multi-disciplinary research centre creating new healthcare solutions for unmet medical needs related to communicable and non-communicable pathologies of significant burden to children and adolescents, irrespective of an individual's societal conditions. Bespoke solutions are designed and developed by BRCCH researchers to prevent, mitigate, or cure diseases.

Your position

The successful candidate will develop an internationally competitive research programme in Paediatric Digital Health Data Analytics with an emphasis on clinical translation and technology integration tailored for the special needs of children and adolescents. Close collaborations are expected with clinical partners, scientists at the University of Basel and the D-BSSE of ETH Zurich in Basel, and within the Basel life sciences cluster. The Master's and Ph.D. programmes of the University's Medical and Sciences Faculties provide opportunities for teaching (in English).

Your profile

The University of Basel expects from the candidate a genuine interest in interdisciplinary academic work and several years of experience in digital health and / or related fields including machine learning and artificial intelligence, medical informatics, measurement technologies, ideally with a wide variety of multi-modal medical data. Excellent academic performance or seniority relative to the applicant's career stage and a proven record in acquiring competitive third-party funding are essential qualifications. The university expects a strong interest in student teaching and mentoring of junior scientists at different stages of their academic careers. Key personality traits include excellent social and communication skills and an open, inquisitive, and collegial personality.

The university offers you

The university offers you a unique opportunity for interdisciplinary research in both theory and application of machine learning and related computational methods in (bio)medicine in a highly innovative and translational research environment enabling access to patients and academic bioinformatics facilities.

The University of Basel stands for excellence through diversity and is committed to equal opportunities and family friendliness. In an effort to increase the proportion of women in professorships, the University is particularly interested in receiving applications from women.

Application / Contact

For further information, please contact the Chair of the Academic Recruitment Committee, Prof. Georg Rauter (Phone: +41 61 207 54 70; e-mail: or the Scientific Coordinator of Academic Recruitment, Dr. Simone Neu (Phone: +41 61 207 61 64; e-mail:

Applications must be submitted by July 28th, 2023.
The university kindly asks you to apply exclusively via the online platform and as described in the application guidelines.