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KU Leuven
SIGNAL PROCESSING ALGORITHM DESIGN FOR NEXT-GENERATION NEURO-SENSOR TECHNOLOGY
KU Leuven
KU Leuven is an autonomous university. It was founded in 1425. It was born of and has grown within the Catholic tradition.
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JOB DETAILS
Published: 7 days ago
Application deadline: Sep 15
Location: Leuven, Belgium
Please mention that you found this job on Academic Positions when applying.
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SIGNAL PROCESSING ALGORITHM DESIGN FOR NEXT-GENERATION NEURO-SENSOR TECHNOLOGY

(ref. BAP-2018-494)

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.

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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.

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/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/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)
Interested?

For more information, contact: 

Prof. Alexander Bertrand

alexander.bertrand at esat.kuleuven.be

You can apply for this job no later than September 15, 2018 via the online application tool

KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.

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