Neuro-steered hearing aids: combined EEG and audio signal processing

Employer
KU Leuven
Location
Europe
Posted
July 06 2017
Discipline
Other
Position Type
Full Time
Organization Type
Academia

A 1-3 year postdoctoral position is available within a collaborative project between ExpORL, Dept. Neurosciences, and ESAT-Stadius, Dept. Electrical Engineering, KU Leuven, Belgium.

The goal is to develop a neuro-steered hearing aid that will adapt its function according to brain responses measured using EEG. This position entails signal processing of joint EEG and audio signals.

The ideal starting date is between now and 1 January 2018.

We are looking for a postdoc with strong mathematical skills and with experience in algorithm design for multi-channel (array) signal processing (for EEG and/or audio). This is a joint project between the research group Experimental Otorhinolaryngology, Dept. Neurosciences and the rearch group ESAT-STADIUS, Dept. Electrical Engineering.


The research group of Experimental Otorhinolaryngology, Dept. Neurosciences is part of the University of Leuven. Leuven is located in the center of Belgium, in the heart of Europe. Our group consists of 3 professors, 5 post-docs and ~30 PhD students. The research at ExpORL is aimed at improving hearing and communication skills of people with a hearing or related impairment. In particular, related to this project, we investigate new auditory measurement methods based on auditory brain evoked potentials for improved diagnostics and hearing instruments. We focus on the entire chain of auditory modeling, signal processing, simulation, psychophysical tests, electro-physiological measurements, imaging, lab-implementation, and evaluation with normal hearing subjects and users of hearing aids and cochlear implants.


The research division STADIUS ('Stadius Centre for Dynamical Systems, Signal Processing, and Data Analytics') is located at the Electrical Engineering Department (ESAT) at KU Leuven. STADIUS's major research objective is to contribute to the development of improved digital control and signal processing algorithms and systems that incorporate advanced mathematical engineering techniques as a crucial ingredient.

- You will conduct your own research project, collaborating with PhD and postdoctoral researchers. The required EEG and behavioural data is readily available for analysis, and new data can be collected if required.

- You are responsible for developing new multi-channel signal processing methods to the problem at hand. Particular challenges will be the noisy nature of EEG data, the multi-modal integration of EEG and audio data, and the multidisciplinary nature of the project.



This job comes from a partnership with Science Magazine and Euraxess