Wireless DSP researcher aerospace & security
Listed on 2026-06-12
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Engineering
Systems Engineer, Research Scientist
Location: Town of Belgium
Wireless DSP researcher for aerospace & security What you will do
- joinateam researchingwirelesssystems and algorithms.
- research radar and communication systems.
- focus primarily on security related topics.
- contribute to the design of radar
ASIC architectures. - lead and execute(funded) projects in the security domain.
- publish in relevant journals and present our work at conferences.
We offer you the opportunity to join one of the world’s premier research centers in nanotechnology at its headquarters in Leuven, Belgium. With your talent, passion and expertise, you’ll become part of a team that makes the impossible possible. Together, we shape the technology that will define the society of tomorrow.
We are committed to being an inclusive employer and proud of our open, multicultural, and informal working environment with ample possibilities to take initiative and show responsibility. We commit to supporting and guiding you in this process; not only with words but also with tangible actions. Through imec.academy, 'our corporate university', we actively invest in your development to further your technical and personal growth.
We are aware that your valuable contribution makes imec a top player in its field. Your energy and commitment are therefore appreciated by means of a market appropriate salary with many fringe benefits.
Who you are- You have a Ph.D. degree or equivalent through work experience in Electronics or a related field.
- You have 5+ years of experience in Wireless DSP and have extensive knowledge of radar and/or communication systems. You are fluent in MATLAB or Python.
- Ability and willingness to obtain Security Clearance (National, EU, NATO) – a mandatory requirement for this role.
Having any of the following skills is a bonus:
- You have experience with building demonstrators.
- You have experience in ASIC architectures and with modelling in System
C. - You have experience in machine learning applied to sensors.
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