POSTDOC POSITION IN THE DOMAIN OF EEG-BASED BRAIN-COMPUTER INTERFACES

03 August 2018

Get in touch!

Interested applicants should submit:

- a motivation letter with a statement of skills and research interests
- a curriculum vitae
- the names and contact information of 2 references

For more information, contact:
Prof. Alexander Bertrand
alexander.bertrand@esat.kuleuven.be

You can apply for this job no later than November 30, 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.

Apply before 30 November 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.

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Responsibilities

This job opening covers a research position (minimum 2 years) at the STADIUS group of the Department of Electrical Engineering (ESAT) of KU Leuven (Belgium) for a postdoctoral researcher in the frame of a project on next-generation wearable neuro-technology and neuro-sensor networks.  The candidate will take the lead in guiding PhD students to set up BCI experiments using standard high-density EEG equipment together with some tailored non-standard equipment, and will also be involved in the data analysis and the algorithm design towards novel adaptive neural decoding algorithms, amenable to low-power wearable sensors with constrained energy resources.

Profile

Candidates should have a good experience with setting up EEG-based BCI experiments, and should have a good knowledge and insight in state-of-the-art signal processing and machine learning algorithms in the field of neural decoding (preferably EEG).

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

  •  Adaptive filtering
  • 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
  • Optimization theory (convex or non-convex)

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... )
  • The opportunity to further develop leadership skills (including supervising PhD students).
  • The possibility to participate in international conferences and collaborations
  • A 2-year contract with a competitive monthly stipend (with the possibility to extend it beyond 2 years).