Signal Processing Engineer

At imec, Biomedical Applications & Systems

Project Description

In close collaboration with industrial customers, clinical partners, and engineers from different disciplines, you will architect and design innovative algorithms to run on wearable systems for bio medical applications, combining cutting-edge research results with state-of-the-art components. Your main focus is to deliver solutions that can be used for (clinical) studies to explore ways to monitor and manage health problems in real life.


Your Tasks

  • Develop algorithms based on bio medical signals that will first run offline and will later be integrated in real time applications based on prototypes of imec hardware and off-the-shelf sensors, microcontrollers and radio's, while interfacing to PC's, smartphones and other portable devices.
  • Define protocols for data collection of bio medical signals such as EOG, ECG, EEG in order to develop robust algorithms.
  • Combine signal processing with machine learning techniques to deliver state of the art algorithms.
  • Interact with customers to align on system requirements and review progress.
  • Support validation of developed algorithms in real-life or clinical studies.
  • Share knowledge with the team, provide technical guidance, and drive technical roadmap in area of wearable electronics.
  • Deliver high quality system designs, in a timely fashion, and in line with requirements. 


Your Profile

  • MSc degree in bio medical engineering, electrical engineering, computer science, data science or similar field;
  • 4+ years' experience in bio medical signal processing preferably in the field of wearable health;
  • Experience in bio medical signal processing for signal conditioning and feature extraction;
  • Experience in algorithm development;
  • Experience in Matlab, Python (Numpy/Scipy);
  • 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 process from specification to implementation, testing and debugging, including communication and alignment with different stakeholders.


For all inquiries, please contact:

Ms Najat Loiazizi, HR specialist

Telephone number: +31 (0)40 40 20 675


Apply now