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Design and development of affordable healthcare technologies

This program has a possible flexible start and length. Read more in the program description.

Preferred student profile

Master students within (preferably) Computer Science, (Biomedical) Engineering, Healthcare professionals (with strong interest and preferably background in technology).

Research topics:

  • Rehabilitation robotics
  • Serious games for rehabilitation
  • Human movement science
  • Welfare technology


As the global population becomes older, elder and long term care are among the top healthcare challenges among most countries.
Technology offers unprecedented opportunities to solve these challenges. Robots for rehabilitation, which development is ongoing, are already found in hospitals. Artificial intelligence (and big data) are helping doctors to make diagnosis. But yet, access to healthcare remains troublesome for a large number of patients.

We will work together in developing solutions that make healthcare more affordable and accessible.

You can work on robots and movement analysis systems which allow better management of patients with neurological (stroke, multiple sclerosis, Parskinson's disease, spinal cord injury) and muscle-skeletal (neck pain) conditions.

If your interest is rehabilitation robotics (or haptic, or physical human-robot interaction), you may help the development of new devices, ideally based on Raspberry Pi and-or Arduino. Or you may learn how to program our existing robots (Wristbot, RoboTrainer).
If you are more oriented to movement analysis and human movement science, we can work on the development of websites which track and measure the user's (i.e. patient's) movement and allow him-her to play games for rehabilitation.

Regardless of your choice, the results of your project should be made relevant and available to a large number of people, and that will be through open software and publication of results in open access scientific journals.

We welcome candidates (for one or two semesters) from different backgrounds, who are aiming at expanding their skillset - that is for instance from a technical background, towards the healthcare sector.

The Maersk Mc-Kinney Moller Institute

Read more about the Maersk Mc-Kinney Moller Institute

Read here

Responsible researcher

Assistant Professor Angelo Basteris