PostDoc - Signal processing eWatch (V36.2824)
PostDoc - Signal processing eWatch
Eindhoven University of Technology (TU/e) is one of Europe’s top technological universities, situated in the heart of one of Europe’s largest high-tech innovation ecosystems. Research at TU/e is characterized by a combination of academic excellence and a strong real-world impact. This impact is often obtained via close collaboration with high-tech industries.
The ageing population and related increase in chronic diseases put considerable pressure on both the healthcare system and the society, resulting in an unsustainable rise of healthcare costs. Each year over 4 million deaths are caused by cardiac diseases. There are 30 million people who suffer from arrhythmia and other cardiovascular disorders according to the World Health Organization, 2014. The cost for treatments associated with these diseases is about 650 billion per year.
Wearable health monitoring systems provide a big promise in allowing individuals to closely monitor changes in her or his vital signs and provide feedback to regain or maintain an optimal health status. Monitoring heart rate, blood pressure and blood glucose, oxygen saturation, physical activity and other physiological parameters will minimize the treatment cost and enhance the quality of life.
The overall goal of the eWatch project is to provide an extensive human centric, personal monitoring platform.
The research will be performed within an international consortium that will establish innovations in various areas, all contributing to the eWatch platform. The Postdoc will mainly focus on fundamental signal processing innovations towards establishing real-time capabilities to filter noise from pulse oximetry/photoplethysmography signals in order to continuously detect oxygen saturation, blood pressure or derivatives thereof, and other vital signs on a wearable system, providing opportunities for early detection of patient exacerbations.
We are looking for a postdoctoral candidate with a strong background in signal processing, evidenced by a PhD degree in this domain. The candidate must be able to work in a highly multidisciplinary team, being able to communicate not only with signal processing experts, but also with commercial and medical partners. Furthermore, the candidate must be able to manage her/his own project and at the same time contribute in the coordination of the entire project and the supervision of e.g. PhD students.
In short, we are looking for a candidate who
- has a strong PhD in signal processing;
- can bridge the distance between fundamental concepts and theories on the one hand and practical implementation and evaluation of these concepts on the other hand;
- can think out of the box, distinguish main lines from details, and provide structure to her/his work;
- has excellent multidisciplinary team working and communication skills.
Depending on performance, there is an opportunity to convert this position into an academic tenure track at TU/e.
Conditions of employment
- A challenging job at a dynamic, high-ranking and ambitious University for 3 years.
- A salary is offered between € 3068,- and 4028,- gross per month (gross), depending on knowledge and experience (based on salary scale 10 CAO Dutch Universities).
- An attractive package of fringe benefits, including excellent technical infrastructure, child care, savings schemes, and excellent sports facilities, extra holiday allowance (8%, May), and end-of-year bonus (8.3%, December).
- Foreign experts may benefit from the 30% tax regulation in order to get a higher net salary, when granted.
More information on employment conditions can be found at: http://w3.tue.nl/en/services/dpo/.
Information and application
- For more information about the project and any informal enquiries, please contact dr.ir. R. Vullings, R.Vullings@tue.nl.
- For information concerning employment conditions you can contact Mrs. Tanja van Waterschoot, email@example.com .
If interested, please use 'apply now'-button at the top of this page. You should upload the following (all in English):
- A motivation letter in pdf.
- A detailed CV in pdf, including publications and grades.
- Your MSc. thesis.
- Your (draft) PhD. thesis.
- At least two Letters of Recommendation
After a pre-selection process based on your CV, you will be invited for face-to-face interviews.
Please keep in mind; you can upload only 5 documents up to 2 MB each!