Are you passionate about developing and implementing novel eHealth technologies to improve the well-being of individuals with osteoarthritis (OA)? Join our multidisciplinary team to work on the LoaD project (NWA-ORC 2020/21) that aims to offer individuals with OA personalized advice on their daily living activity based on different types of data (multimodal data).

At the University of Twente- Biomedical Signals and Systems (BSS) group we focus on developing a smart eHealth buddy that provides smart coaching strategies based on personalized monitoring. Our work package (WP4) elucidates how to develop measurement tools and coaching and feedback strategies. To do so we will build upon the work conducted in other work packages to ultimately get a holistic picture of the patient that will be used for the recommendation, coaching, and advice to be developed and tested in small-scale studies. Larger scale studies on usability and clinical trials will be performed in WP5. The objective of WP5 is to develop and evaluate a care pathway for newly developed eHealth applications using personalized feedback and coaching strategies.

As a Post-Doc your task would be to identify promising coaching strategies and to develop just-in-time coaching content to support patients with their daily life decisions. Together with a PhD and PDeng student, you would be involved in developing the first prototype of the eHealth solution and evaluating its usability among end-users. After the development of the prototype, you would be involved in the implementation of the eHealth solution. This includes the development of a new care pathway. For your work, you would be involved in conducting focus group sessions, think-aloud sessions, and small pilot studies.

• You have, or will shortly, acquire your PhD in the field of biomedical engineering, technical medicine, health science, or psychology a closely related study program.
• You have strong communication and analytical skills.
• You are highly motivated to work on the challenges we are facing in healthcare by using personalized innovative eHealth technology and preferably have experience in human-behaviour research.
• You have a creative mindset and excellent analytical and communication skills. You can communicate with healthcare professionals and patients.
• You are highly motivated to work on the challenges we are facing in healthcare by using personalized innovative eHealth technology and preferably have experience in human-behaviour research.
• You enjoy working in a multidisciplinary team including engineers, ICT professionals, healthcare professionals, and health scientists.
• You have a sufficient level of Dutch as you need to communicate with patients and healthcare professionals

• You will be appointed for a period of maximum 2 years for 0.6-0.8 fte within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues.
• Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU).
• Gross salary between € 3877.,- and € 5090,- per month depending on experience and qualifications.
• Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme;
• The flexibility to work (partially) from home.
• Free access to sports facilities on campus.
• A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis.
• Excellent support for research and facilities for professional and personal development.
• We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other university staff.
• We are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.