Biomedical R&D engineer

Eindhoven - Engineers
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Meer dan twee weken geleden

As a Biomedical R&D engineer, you contribute to innovative solutions that improve the future of healthcare.

Biomedical R&D Engineer

What you will do

In this role you will contribute in developing algorithms to extract health parameters, starting from physiological modeling and data collection to translating multiple physiological signs into health parameters. An important part of your job will be the validation of algorithms and systems in real-life or clinical studies.

  •  You develop methods to evaluate and analyze the performance of sensors and algorithms.
  • Develop and evaluate algorithms to estimate the physiological parameters in real-time, using signals from wearable sensors, like ECG, EEG, EMG, EOG, PPG, GSR, and BioZ.
  • Contribute in developing biomedical models to relate sensor data to physiological parameters.
  • Setting up and performing data collection campaigns aimed at validating sensors and algorithms.

What we do for you

By joining the Wearable Health Solutions team in Eindhoven, you will be part of a team of disruptive innovators and thinkers. Together, with our Researchers and Engineers, you will work on wireless and wearable healthcare applications that empower people to manage their own health. We invite you to be part of our ambitious team where your ideas will have an impact on our society and our future lives.

Who you are

  • MSc degree in biomedical engineering or similar field.
  • 2+ years’ experience in the field of biomedical signal algorithms development.
  • Theoretical and applied knowledge of human physiology or behavioral science.
  • Experience with Design of Experiments and the analysis of large data sets.
  • Experience with data collection on human subjects.
  • Solid knowledge of MATLAB (must), working knowledge of Python, C (plus).
  • Excellent communication skills in English (written and spoken).
  • Flexible team player, actively helping other team members, you see changes as an opportunity to learn and grow.
  • Quick learner, able and interested in acquiring new skills and competences.
  • Hands-on attitude. Taking responsibility for the who process of data collection to development of algorithms, including communication and alignment with different stakeholders.

 

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