• 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.

    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:

    Qualifications 

    •  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).

     

     

  • Fields

    • Artificial Intelligence

    • Engineering

  • Qualifications

    • Master

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