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 AI development embedded in the real-time image chain, with hybrid local and cloud computing and storage. 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.
• Federated AI algorithms that safeguard the privacy concerns of medical data by applying the most low level processing on premise, and only upload non-personal aggregated data.
• AI solutions for workflow automation and support.
• AI 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.

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 deep learning and signal processing algorithms, 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).

We offer a fixed-term, 2-year position in a research group with an excellent reputation. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, including:

• A meaningful job in a dynamic and ambitious university with a close relationship to industry.
• A full-time employment for two years.
• To support you during your PDEng and to prepare you for the rest of your career, you will have free access to a personal development program for PDEng trainees.
• 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  (€2,618).
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as an international spouse program, and excellent on-campus children day care and sports facilities.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.