PhD position: Non-intrusive managed care at home

PhD position: Non-intrusive managed care at home

Published Deadline Location
7 Feb 10 Mar Eindhoven

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Job description

Introduction

The advanced photonic solutions lab (APSL) at the Electro-Optics Communication (ECO) group at Eindhoven University of Technology is recruiting for a PhD position to research Non-intrusive managed care at home.

The electro-optical communications (ECO) group in the Faculty of Electrical Engineering at TU/e is a globally recognised, leading scientific and applied research group focused on exploiting light for communication and quantum systems. We apply our knowledge in collaboration with other scientists at TU/e and more recently within the newly formed Eindhoven Hendrik Casimir Institute (EHCI) to develop the required solution for many of the relevant challenges in communication and sensing systems. The group expertise spans from the fundamentals and physics of photonics, optics, the design and fabrication of photonic integrated circuits (PICs) systems to exploiting optical linear/non-linear signal processing to unlock fiber capacity and relevant higher layer protocols required to operate modern optical communication networks.

Based in the purposely built FLUX building at the TU/e Campus, the ECO group has access to 300m2 of labs for conducting experimental research and is supported by a state-of-the-art 800m2 cleanroom. With 11 tenured scientists and as many as 70 PhDs, postDocs and senior researchers, the ECO group is a vibrant and exciting research group perfectly suited for talented and ambitious scientists. The group is active in spin outs and starts-ups (e.g. Micro-align, PhotonX Networks and LuXisens Technology) and carries out bilateral industrial research with major stakeholders in the communications industry.

Job description

People get older and live longer at home. Therefore there is a strong need for intelligent monitoring systems which can take action when things are about to go wrong and inform family or care givers. Many systems have already been developed. The experience with wearables is that they are no longer used after an initial period and camera systems are not very privacy friendly.

In this project we propose to investigate an integrated non-intrusive care system which takes action in case of health risks or accidents and is based on pressure sensing at strategic places in the home like the bathroom, the stairs, near the doors, in bed, etc.

The sensing of pressure in a non-intrusive fashion is a long sought-after technique. Over the years, many solutions have been put forward for this problem, mostly based on the use of capacitive surfaces. The TU/e has developed and has spun out the optical fiber-based sensing technology at the heart of Luxisens. The sensing capabilities of the technology are very broad and as such is also the scope of possible sensing applications that can be serviced with the technology.

Responsibilities and tasks

The purpose of the project is the further development and demonstration of the use of plastic optical fiber sensing in many applications, including the improvement of the quality of obtainable sensing data as well as the improved data analysis (and algorithms) to allow better utilization of sensing information.

Plastic Optical Fiber sensors are robust and insensitive for radio signals nor radiate any radio signals and therefore absolutely safe in a home and even in a medical environment. In principal optical sensors can be much more sensitive and faster than electrical sensors. Moreover, plastic optical fiber sensors based on optical coupling are very suitable for 2-D pressure detection.

The research will be carried out in the TU/e labs but will be in close collaboration with Luxisens Technologies. Among others activities the recruited candidate will:
  1. Explore physical improvements of the sensing mechanism.
  2. Develop a better theoretical understanding of the operational principle.
  3. The improvement of data generated through improved signal processing in the digital and analog domains.
  4. The use of medical data and machine learning algorithms to extract meaningful and robust health diagnostic indicators from obtained raw data.

Specifications

Eindhoven University of Technology (TU/e)

Requirements

Candidates must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree in Electrical Engineering, Applied Physics or Biomedical technologies (with necessary background in electronics and programming).

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Specifications

  • PhD
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V36.7249

Employer

Eindhoven University of Technology (TU/e)

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Location

De Rondom 70, 5612 AP, Eindhoven

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