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Signal Processing Algorithm Design for Next-Generation Neuro-Sensor Technology

  • Full or part time
    Prof Alexander Bertrand
  • Application Deadline
    Tuesday, April 30, 2019
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

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 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)

Interested?

Interested applicants should submit:
- a motivation letter of max. 1 page with a statement of skills and research interests, related to the vacancy
- a curriculum vitae
- a list of courses + obtained grades
- the names and contact information of 2 references

You can apply for this job no later than April 30, 2019 via the online application tool.


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