SIGNAL PROCESSING ALGORITHM DESIGN FOR NEXT-GENERATION NEURO-SENSOR TECHNOLOGY

13 July 2018

Get in touch!

Prof. Alexander Bertrand

alexander.bertrand at esat.kuleuven.be

Apply before 15 September 2018

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, Europe’s most innovative university (Reuters, 2018). 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 algorithm design for next-generation wearable neuro-technology and neuro-sensornetworks.  A specific focus is on the design of adaptive multi-channel neural signal processing algorithms, amenable to low-power distributed or parallellizable architectures with constrained energy resources.

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Candidates must hold a Masters degree in Electrical or Computer Science Engineering (or equivalent) with excellent grades, and with a strong mathematically-oriented engineering background. A good knowledge in the following fields is deemed necessary:

  • Signals and systems
  • Linear algebra
  • Signal processing 
  • Analysis of random/stochastic signals (stationarity, power/cross spectral density, Welch, Wiener, etc.) 

Additional research/educational experience in any of the following topics is a plus:

  • (Convex) optimization theory
  • Brain-computer interfaces and neural decoding
  • Component analysis theory and application (PCA, ICA, IVA, CCA, …)
  • Machine learning (deep or not)
  • Multi-channel signal processing and spatial filtering
  • (Blind) source separation
  • Sensor array processing (beamforming, detection, …)
  • Distributed signal processing

Candidates should be motivated, independent, critical, 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 interdisciplinary research environment at KU Leuven, Europe’s most innovative university (Reuters: https://www.reuters.com/innova... )
  • A Ph.D. title from a high-ranked university (after +- 4 years of successful research)
  • A thorough scientific research-oriented education
  • The possibility to become a world-class researcher
  • The possibility to participate in international conferences and collaborations
  • A competitive monthly stipend (scholarship)