Within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), the Department of Biomedical Signals and Systems (BSS) is looking for a highly motivated Assistant Professor (Tenure Track) with advanced expertise in the analysis of (multi-modal) monitoring data and patient-level prediction models. You will work on the challenges of reliably measuring and analyzing characteristics of patients with cancer or obesity, to identify high risk patients and detect late effects in an early stage.
In this position, you will be part of the national RECENTRE (Risk-based lifEstyle Change: daily-lifE moNiToring and Recommendations) program, in which we will work with patients and citizens to empower people to play a leading role in their lifestyle and health within their own environment. By holistic and high-tech monitoring of vulnerable populations in their home and tailored recommendations, we relocate care from primary/secondary care and prevent disease development or worsening, resulting in timely intervention, higher quality of life and lower healthcare costs. With our large consortium, we are connecting the four universities of technology in The Netherlands (Delft University of Technology, Eindhoven University of Technology, University of Twente and Wageningen University and Research) with multiple clinical, patient and knowledge organizations.
The mission of the BSS department is to enable improved diagnosis and treatment of patients with chronic diseases in the home/self-care as well as clinical setting. Our research is embedded in the Technical Medicine (TechMed) and Digital Society (DSI) Institutes of the UT. Our teaching contributes to the Technical Medicine, Biomedical Engineering, Electrical Engineering and CreaTe curricula.
Take this opportunity to operate at crossroads of different disciplines and perform research on the edge of technology and medicine!
Apply here