Warning: this advert is not valid anymore.

Research fellow/MD-PhD student

WorkplaceBern, Bern region, Switzerland
Occupation rate100%
Job StartImmediately or on availability (start of project will be spring 2019)

We are looking for a research fellow/MD-PhD student for a highly innovative project bringing together diabetes research and automotive technology

Inselspital, University Hospital Bern
As a leading university hospital with a rich and longstanding academic tradition, the Inselspital as part of the Insel Group is a centre of medical expertise with an international reputation as well as being a first-class academic training and research centre.

University Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) and Diabetes Center Bern (DCB)
The University Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism Bern is a high volume tertiary referral centre with over 25’000 consultations annually, offering the full range of modern diabetes treatment. The close collaboration with the newly (2018) established Diabetes Center Bern (DCB), a large (1000 m2) translational research facility located directly on the University Hospital Campus, allows us to perform high-output diabetes research focussing on novel technological approaches, metabolic studies, and particularly aiming at a translational outcome.

Principal Investigator of HEADWIND
Prof. Dr. med. Christoph Stettler
Full Professor and Director, University Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM), University Hospital and University of Bern, Switzerland
Chief Scientific Officer Diabetes Center Bern (DCB), Switzerland


For a highly innovative research project granted by the Swiss National Science Foundation and located at the novel intersection of diabetes and automotive technology we are looking for a motivated and dedicated research fellow with the option to complete an MD-PhD program. The aim of the current research project (performed in collaboration with ETH Zürich and University St. Gallen) is the design and development of a novel automated hypoglycemia warning system in cars to reduce the risk of hypoglycaemia-associated driving mishaps. The candidate is expected to set up the study according to the protocol and in close collaboration with staff from UDEM and DCB, and to perform the hypoglycemic clamps, initially in a driving simulator and thereafter in real cars, under the supervision of an experienced senior researcher.


The candidate should have completed a medical degree and be interested in clinical research and modern diabetes technology. Preference is given to candidates with a background in clinical research and/or diabetes technology, but willingness to embrace a novel and highly innovative research field will be appreciated adequately. Experience in statistics, grant application and ethical proposal is highly welcome.

We offer

We offer a highly dynamic and stimulating academic environment in a newly established research facility (DCB) with state-of-the-art facilities and within a multidisciplinary research team consisting of medical researchers, software engineers, information technologists, and statisticians with focus on artificial intelligence. The funding of the HEADWIND project (design and evaluation of a vehicle hypoglycemia warning system in diabetes) is granted by an “SNF Sinergia” grant, thereby translating into the usual Swiss salary conditions for MD-PhD students guaranteed over the project duration (4 years).


For further information and/or application, please contact

Dr. med. Thomas Züger
Senior Researcher, Coordinator HEADWIND project
Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism (UDEM) and Diabetes Center Bern (DCB), Switzerland
Inselspital, University Hospital Bern
CH - 3010 Bern
phone: +41 31 632 40 70
e-Mail: thomas.zuegerinsel.ch
Internet: www.udem.insel.ch
Web www.udem.insel.ch
Warning: this advert is not valid anymore.
In your application, please refer to myScience.fr
and reference  JobID 11370.

This site uses cookies and analysis tools to improve the usability of the site. More information. |