EngD student on Cloud and AI technologies in Image Guided Therapy

EngD student on Cloud and AI technologies in Image Guided Therapy

Published Deadline Location
3 Jul 30 Aug Eindhoven

You cannot apply for this job anymore (deadline was 30 Aug 2024).

Browse the current job offers or choose an item in the top navigation above.

Job description

The Electronic Systems (ES) group within the Department of Electrical Engineering of Eindhoven University of Technology (TU/e) and Philips Image Guided Therapy Systems (Philips IGT-S) are seeking to hire an outstanding EngD candidate within the field of data driven value-based healthcare in image guided therapy.

Candidate

In image guided therapy the real-time x-ray image stream is essential in conducting the intervention. As a consequence, so far the industry has been reluctant to embrace cloud technology, because of latency and reliability considerations. However, cloud cluster computing also enables sophisticated AI algorithms that cannot be catered by local computation resources.

This EngD project will consist of creating cloud technologies for real-time interventional imaging. This position is part of six EngD vacancies at Philips IGT-S which will be released over the next year. The EngD candidates will work within an expert team at Philips, and their assignments will address the following aspects:
  • Reliable and low-latency network solutions, with appropriate redundancy and fallback mechanisms.
  • Cloud solutions for real-time image processing as part of a dependable medical grade processing chain.

Electronic Systems group at TU/e and Philips IGT-S

The Electronic Systems group consists of six full professors, three associate professors, five assistant professors, several postdocs, about 40 EngD 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).

Philips Image Guided Therapy is a business category within Royal Philips. The Image Guided Therapy department focuses on developing innovative medical devices and solutions that enable minimally invasive and image-guided procedures in the field of healthcare. These technologies are designed to help healthcare professionals perform procedures such as interventional cardiology, radiology, and surgery with greater precision and efficiency. Philips Image Guided Therapy solutions often incorporate advanced imaging, data analytics, and visualization technologies to enhance patient care and improve clinical outcomes. https://www.philips.com/healthcare/e/image-guided-therapy.

Specifications

Eindhoven University of Technology (TU/e)

Requirements

We are looking for excellent candidates that add value to the ES group and match the following profile:
  • A master's degree in Electrical Engineering or related disciplines with excellent grades.
  • Excellent knowledge of computer architectures and hardware/software design.
  • Solid programming skills (e.g., in C or C++).
  • A team player that enjoys working in multicultural teams.
  • Good communication and organization skills.
  • Excellent English language skills (writing and presenting).

Conditions of employment

We offer a fixed-term, 2-year position in a research group with an excellent reputation, including:
  • 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 TOIO  (€2,715).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • To support you during your EngD and to prepare you for the rest of your career, you will have free access to a personal development program for EngD trainees.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

Specifications

  • Technical and laboratory
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V36.7596

Employer

Eindhoven University of Technology (TU/e)

Learn more about this employer

Location

De Rondom 70, 5612 AP, Eindhoven

View on Google Maps

Interesting for you