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Post-master Pdeng Position on Automatic Camera-based Aiming

International students are invited for a master scholarship in optics at Eindhoven University of Technology. This fellowship is last for two years and posible to extend. There is no application deadline for this position.

The Electronic Systems (ES) group within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e) seeks to hire an outstanding PDEng candidate within the field of remote vital signs monitoring.

This post-master designers program is a two-year salaried program in the field of healthcare systems design. The program leads to a Professional Doctorate in Engineering (PDEng) degree.

An important part of the PDEng programme is the design project which will be performed at Philips. The project is spread over two years and aims to develop your design engineers’ abilities. In the project, a specific design objective must be reached within a restricted period of time and with limited means. In accordance with the supervising professor the candidate will be given the opportunity to gather specialized knowledge for the design project already in the first year of your Traineeship. You will be coached by experienced design engineers from industry and/or by TU/e staff with clear and relevant design experience. You will acquire independence and learn to make choices and work well in a project-based manner.

Commoditization of digital cameras in visibile, nIR and thermal infra-red spectral ranges has led to the discovery of a relatively large variety of techniques to measure physiological parameters in an entirely contactless manner, using these cameras. Within the UMOSA project we will explore two contactless techniques, namely speckle vibrometry and remote thermography because each has a unique measurement principle, and consequently, they provide a relatively broad range of complementary physiological parameters. Simultaneously, they also share a challenge. Automatic detection and continuous visibility of ROI are needed for a successful deployment in sleep studies.

In this PDEng project, you need to address this challenge and develop an automatic camera-based aiming device, based on nIR images with automatic detection of ROIs and subsequently aiming the narrow-field detectors at these ROIs. A camera using nIR illumination and wide-field viewing optics will be the camera guiding the camera-based aiming devices.

Eindhoven University of Technology (TU/e) is a world-leading research university specializing in engineering science & technology. The Department of Electrical Engineering is responsible for research and education in Electrical Engineering. The discipline covers technologies and electrical phenomena involved in computer engineering, information processing, energy transfer and telecommunication. The department strives for societal relevance through an emphasis on the fields of smart sustainable systems, the connected world and care & cure. The TU/e is the world's best-performing research university in terms of research cooperation with industry (#1 since 2009).

The Electronic Systems group consists of seven full professors, ten assistant professors, several postdocs, about 40 PDEng and PhD candidates and support staff. The ES group is world-renowned for its design automation and embedded systems research. It is our ambition to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. The trajectories are constructive and lead to high quality, cost-effective systems with predictable properties (functionality, timing, reliability, power dissipation, and cost). Design trajectories for applications that have strict real-time requirements and stringent power constraints are an explicit focus point of the group.

We offer a fixed-term, 2 year position in a research group with an excellent reputation.

If interested, please use ‘apply now’-button at the top of this page.

Candidates will be selected based on graduation mark and proficiency at university including consideration of the reputation of the university, relevant experience and skills, writing skills and publications, work experience as well as performance in relevant modeling exercises and interviews.


Summary:

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