Job Description

Project:
This job opening covers a research position at the STADIUS group of the Department of Electrical Engineering (ESAT) of KU Leuven (Belgium) for a Ph.D. candidate in the frame of an ERC 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.

Profile
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 spectral density, estimation theory, Wiener, etc.)

Additional research/educational experience in any of the following topics is a plus:
- Multi-channel signal processing and spatial filtering
- (Blind) source separation
- Sensor array processing (beamforming, detection, …)
- (Convex) optimization theory
- Brain-computer interfaces and neural decoding
- Component analysis theory and application (PCA, ICA, IVA, CCA, …)
- Machine learning (deep or not)

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/innovative-universities-europe-2018/profile?uid=1 )
- 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)

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