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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 an ERC project on next-generation wearable neuro-technology and neuro-sensor networks. The candidate will design novel adaptive neural decoding algorithms, amenable to low-power wearable neural sensors with constrained energy resources. The candidate may also be involved in the guidance and support of PhD students within the lab.
Candidates should preferably have experience with setting up EEG-based BCI experiments, and should have a good theoretical knowledge and insight in state-of-the-art signal processing and machine learning algorithms. Experience with neural decoding, EEG data collection, and/or brain-computer interfaces is a strong plus. 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 have co-authored at least 3 papers in high-quality engineering journals with a good impact factor in a field related to the abovementioned topics.
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.
- 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 )
- The opportunity to improve 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).