|연구원||Postdoc position in the domain of EEG-based brain-computer interfaces|
|마감일자||2018. 11. 30|
|기관명||[국외] KU Leuven 바로가기 ☞|
Postdoc position in the domain of EEG-based brain-computer interfaces
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
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.
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.
Deadline : November 30, 2018