Ph.D. Position in multi-channel signal processing with applications in high-density neural probes
The closing date for this job submission has passed.
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 for high-density neural probes.
The Ph.D. candidate will focus on spatial filtering methods for neural interfaces, in particular for spike detection and spike sorting algorithms in next-generation high-density neuro probes. A specific focus is on the design of adaptive and computationally-efficient neural signal processing algorithms, possibly in a real-time context and amenable to low-power distributed or parallellizable architectures with constrained communication bandwidth.
Candidates must hold a Masters degree in Electrical or Computer Science Engineering (or equivalent) with excellent grades, and with a strong mathematically-oriented background in (multi-channel) signal processing theory, signals and systems, etc.
Additional research/educational experience in spatial filtering, (blind) source separation methods, component analysis, sensor array processing, distributed signal processing, tensor methods, and/or machine learning are a strong plus.
Candidates should be motivated, independent, have a critical mindset, 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.
The project is a collaboration with the Neuro-Electronics Research Flanders (NERF; http://www.nerf.be).
- email redacted
- Related URL
- KU Leuven, University of Leuven
- Topic Categories
- Leuven, Belgium
- Closing Date
- Feb. 29, 2016