[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Postdoctoral Research Fellow / Linköping University – Real-time classification of attended source with EEG and EarEEG brain-computer interface

Dear List,

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.

Recent studies have shown that the EEG can be used as a brain-computer interface (BCI) in several applications. EarEEG is a new possibility to record EEG signals from the ear canal. This project aims at maturing EarEEG BCI methods towards specified tasks.


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.

Your background
We are seeking candidates with a PhD degree (or equivalent research experience) in machine learning, automatic control, signal processing or a related discipline, who have an excellent research and publication record. A strong interest in interdisciplinary and application-oriented work, team-work, as well as good English language skills is required. Apart from initiating cutting-edge research leading to journal publications, the experienced researcher is expected to be a part of the research group in the two Linnaeus Excellence centre CADICS (Department of Electrical Engineering), as well as the Linnaeus excellence centre HEAD (Department of Behavioral Science), both at Linköping University.



Want to join Linköping University?
If this opportunity appeals to you, then submit your application as soon as possible (emails below) and no later than 1st January, 2015. Please be aware that we are holding interviews on a continuous basis, so do not hesitate submitting your application. Please include the following documents: Letter of motivation; CV; a list of publications; copies of University diplomas and course transcripts; 2 -3 references (if possible).


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 4829 8918.


About Linköping University
Linköping University (in Swedish: Linköpings universitet, LiU) is a state university in Linköping, Sweden. Linköping University was granted full university status in 1975 and is now one of Sweden's larger academic institutions. Education, research and PhD training are the mission of four faculties: Arts and Sciences, Educational Sciences, Health Sciences and the Institute of Technology. In order to facilitate interdisciplinary work, there are 14 large departments combining knowledge from several disciplines and often belonging under more than one faculty. Linköping University emphasises dialogue with the surrounding business sphere and the community at large, both in terms of research and education. In 2013, Linköping University was home to 27,000 students and 4,000 employees



Thomas Lunner
Senior Scientist, Professor, PhD

Eriksholm Research Centre                    Linnaeus Centre HEAD

Rørtangvej 20                                                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

Email:     tlu@xxxxxxxxxxxxx                          Email: thomas.lunner@xxxxxx

Website: www.eriksholm.com