Postdoctoral researcher Diabetes2Care A Personalized Lifestyle Intervention

Project: Diabetes2Care A Personalized Lifestyle Intervention for People with Diabetes

Project description
Type 2 diabetes has a high prevalence in The Netherlands. Due to the high numbers of people that are affected, it is difficult to find sufficient support. Furthermore, access to knowledge on self-management of the diseases is limited. Within the project Diabetes2Care a consortium around Diavantis B.V. has set of to develop an app that enables people with type 2 diabetes to take control and more responsibility for their own health.
The Discret Technology and Production Automation group of the RUG support this project by organizing and coordinating scientific studies that explore how people use the app that will be developed within the project. Furthermore, we will investigate how machine-learning based algorithms can be used to personalize the user experience. The goal of this personalized user experience is to enable each individual user to discover their own sustainable way of dealing with their health conditions. The technical challenge within this project lies in the huge variance of the data. Furthermore, the app needs to be able to work with sparse incomplete data and the algorithms need to comply with local legislation.

We seek a postdoctoral researcher who is interested in

- Developing Data-driven control solutions for medical mobile applications.
- Investigate the use of machine learning-based algorithms can be used to personalize the user experience within an app.
- Conduct data acquisition studies within lifestyle interventions.
- Communicate and collaborate with an interdisciplinary team of project partners from the Dutch MedTech industry.
- Collaborate with other postdocs and PhD students in the research group.

Organisation
Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative centre of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 34,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world (see our ranking: http://www.rug.nl/about-us/where-do-we-stand/rankings, the University of Groningen is truly an international place of knowledge.

Within the Faculty of Science and Engineering (FSE), the Engineering and Technology institute Groningen (ENTEG) conducts engineering science research and covers a broad area of mechanical engineering, control engineering, materials engineering, and (bio)-chemical engineering. The research unit Discrete Technology and Production Automation (DTPA) is focused on the dynamical modeling, analysis, mechatronics and control of complex electro-mechanical systems. The application areas include smart energy systems, mechatronic systems, robotic systems, as well as, multi-agent autonomous systems. For more information about the DTPA group please use the following link: http://www.rug.nl/research/discrete-technology-production-automation

You have

- A Doctoral degree in Biomedical engineering, Artificial Intelligence, or other equivalent degree programs from top universities.
- Strong academic credentials.
- Excellent written and spoken English proficiency.
- Solid knowledge in artificial intelligence for medical applications.
- Strong knowledge in programming.
- Experience in conducting studies with human participants.
- A good understanding of written and spoken Dutch.

We offer you, in accordance with the Collective Labour Agreement for Dutch Universities:

- A salary from a minimum of € 4,060 to a maximum of € 5,331 gross per month (salary scale 10.4) for a full-time position after obtaining PhD.
- A holiday allowance of 8% gross annual income and an 8.3% end-of-the-year allowance.
- The successful candidate will first be offered a temporary position of one year with the option of renewal. Prolongation of the contract is contingent on sufficient progress in the first year.

The preferred starting date is 1 September 2025