Ph.D. researcher in distributed signal processing for EEG sensor networks

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Ph.D. researcher in distributed signal processing for EEG sensor networks

KU Leuven
Country of Position: 
Contact Name: 
Alexander Bertrand
Subject Area: 
Sensor Array and Multichannel
Start Date: 
October 01, 2016
Expiration Date: 
December 30, 2016
Position Description: 
In the STADIUS group of the Department of Electrical Engineering (ESAT) of KU Leuven, we are looking for a motivated Ph.D. candidate with an interest in array or multi-channel signal processing and applications thereof in electroencephalography (EEG).
The work will be performed within the research division STADIUS ('Stadius Centre for Dynamical Systems, Signal Processing, and Data Analytics') at the Department of Electrical Engineering (ESAT) at KU Leuven. STADIUS's major research objective is to contribute to the development of improved digital (control and signal processing) systems, that incorporate advanced mathematical modeling techniques as a crucial new ingredient.

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
  • (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.


  • 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

To apply, please visit
and follow the instructions.

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