Excuse for multiple postings. If you know anyone that knows a relevant candidate, please do not hesitate to forward this email.
Postdoctoral Research Fellow / Linköping University – Real-time classification of attended source with EEG and EarEEG brain-computer interface
Linköping University, Sweden, represented by the departments of Electrical Engineering and Behavioral Science, in cooperation with Oticon A/S, Denmark, represented by Eriksholm Research Centre,
is seeking to fill a vacant position of a Postdoctoral Research Fellow.
The position is supported by a grant from the Oticon Foundation with support from the Linnaeus Excellence Centre CADICS at Linköping University. This full-time position is available from 01.02.2015,
initially for 12 months, with a possibility for extension to 24 months. Salary will be according to qualifications and experience. The main part of the research work will be carried out at the department of Electrical Engineering, division of Automatic Control,
Linköping, https://www.control.isy.liu.se/. The position includes close cooperation with other research
groups in Europe and in the US, and the industry.
About the position
We are seeking a Post Doc researcher with a fairly recent PhD, who has excellent skills in machine learning and having an interest in applied research. The application area of interest is audio
data combined with Electroencephalogram (EEG) data. The area of interest for the position is EEG measures in relation to hearing impairment and hearing aids.
Physiological measures of cognitive processing in users of rehabilitative technology have the potential to reveal the user’s focus of attention. This could be used to e.g. steer beamformers
towards sources of interest to help hard of hearing person to communicate in difficult listening situations. During the first year of this appointment, the Research Fellow will work on new models for attention classification using an established EEG/audio
data set. Machine learning approaches may include e.g. principal component analysis (PCA), independent component analysis (ICA), beamforming, common spatial patterns (CSP), canonical correlation analysis (CCA), time-frequency analysis, linear discriminant
analysis (LDA), support vector machines (SVM) and system identification methodologies.
Further in the project new data collected in a Horizon 2020 EU (COCOHA- COgnitive COntrol of a Hearing Aid, project under start-up) may also be used. The project may also involve implementation
in an experimental chipset. Extensive collaboration with groups working in related areas is expected, with visits and stays in Denmark (Eriksholm Research Centre and Danish Technical University, DTU) as well as in the US.
The objective for the projects is to build up world-leading expertise in classification of attended sound objects using physical and physiological data.
Want to join Linköping University?
If you would like to know more about the position or apply, you are welcome to contact Professor Fredrik Gustafsson at
Fredrik.gustafsson@xxxxxx or Professor Thomas Lunner at
tlu@xxxxxxxxxxxxx Phone: +45
About Linköping University
The Swedish Institute for Disability Research
3070 Snekkersten Department of Behavioural Sciences and Learning
Denmark Linköping University
Direct: +45 4829 8918
581 83 Linköping
Mobil: +46 7093 81298 Sweden