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Internship: Remote sensing in Camera based technologies (Suitable for Thesis)

Stage in Eindhoven, Nederland
Geplaatst

Soort opleiding

Master

Functie

ICT

Taalvereisten

Engels (Vloeiend)
Nederlands (Vloeiend)

Werk ervaring

0 tot 1 jaren

Deadline

Mar 1, 2020 10:59 PM

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In this role, you have the opportunity to explore the possibility to generate synthetic clinical data for algorithm development and verification in computer vision research to improve technology and solutions in the area of health and well-being. You will use and extend your knowledge of computer vision, machine learning and image processing, etc.

You are responsible for

  • Finding the right tools and developing algorithms for generating synthetic data for computer vision algorithms using state of the art machine learning or deep learning techniques.
  • Applying the synthetic data to a clinical application to observe the performance of algorithms.
  • Evaluating the results with real clinical scenarios, and bench-marking the results.
  • Documenting the complete work and present it in clear presentations and graphs to colleagues and management.

You are a part of

The Remote Sensing department is a strong competency center in the area of remote sensing, in particular in camera-based technologies and applications. It was created by combining experts with application expertise, clinical knowledge, video processing and SW development competencies to enable the development of integrated contact-less monitoring solutions for healthcare applications.

You will be working at the High Tech Campus in Eindhoven.

To succeed in this role, you should have the following skills and experience

  • Currently studying toward your University of Sciences Master in Sciences degree in: Computer Science, Embedded Systems (Knowledge about Computer Vision is highly preferred)
  • Background & courses/university assignment in computer vision, image processing, and machine learning applications.
  • Proven programming skills (e.g. C++, Python, Keras, tensor flow, Pytorch, Caffe, Matlab, etc.).
  • Knowledge with 2D/3D camera hardware settings and software development kits to assess usability for computer vision applications is preferred.
  • Good writing and presentation skills in English.

In return, we offer you

The unique possibility to learn about the many aspects of solving a real clinical problem. You have the opportunity to design and implement a complete solution and demonstrate its value on a real practical problem.

Why should you join Philips?

Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum.

Notes

Start date: Q1 or Q2 2020 with a duration of 6 months. We prefer students able to run a 9 months assignment.

We are open to discuss support with your thesis subject, as long as it will be in line with our assignment described here below.

Required documents in order for us to continue with your application: 

·        • Resume

Please note that in order to be considered for an internship, you need to be registered as a student during the entire internship period. Formal documentation of which may be requested at any time. Students from outside the EU need to fill in an NUFFIC agreement, which needs to be signed by the student and the university.

Please note that the contents of our regular internship assignments are not suitable for professionals (and/or MBA students) with professional work experience. 

Delen:

Philips is a leading health technology company focused on improving people’s lives across the health continuum – from healthy living and prevention, to diagnosis, treatment and home care. Applying advanced technologies and deep clinical and consumer insights, Philips delivers integrated solutions that address the Quadruple Aim: improved patient experience, better health outcomes, improved staff experience, and lower cost of care.

Industrie
Amsterdam
Actief in 100 landen
11,000 medewerkers
60% mannen - 40% vrouwen
Gemiddeld 39 jaar oud

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