Job Description

Project: This job opening covers a research position at the STADIUS group of the Electrical Engineering Dept. ESAT of KU Leuven (Belgium) for a Ph.D. candidate in the frame of a project on signal processing for EEG sensor networks. The Ph.D. candidate will focus on spatial filtering methods for modular high-density EEG platforms. A specific focus is on the design of adaptive multi-channel EEG signal processing algorithms, amenable to low-power distributed or parallellizable architectures with constrained communication bandwidth.

Profile: Candidates must hold a Masters degree in Electrical or Computer Science Engineering (or equivalent) with excellent grades, and with a strong mathematically-oriented background, including signals and systems, linear algebra, advanced (multi-channel) signal processing and random/stochastic signals.

Additional research/educational experience in spatial filtering, (blind) source separation, EEG signal processing, component analysis, sensor array processing, distributed signal processing, and/or machine learning are a strong plus.

Candidates should be motivated, independent, have a critical mindset, and should have strong team-player skills. Excellent proficiency in the English language is also required, as well as good communication skills, both oral and written.

Offer:
- An exciting research environment, working on the intersection between signal processing and neuroscience.
- A Ph.D. title from a highly-ranked university (after approximately 4 years of successful research).
- A thorough scientific education, the possibility to become a world-class researcher.
- A KU Leuven affiliation, one of the largest research universities of Europe
- The possibility to participate in international conferences and collaborations
Interested?

For application instructions, see: https://icts.kuleuven.be/apps/jobsite/vacatures/53760612?lang=en

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