[Eeglablist] Post-doc offer

[Marco Congedo]

*Post-doc Position** *

*RoBIK : Robust BcI Keyboard***

* *



*Starting date*: Around Jan 1, 2010

*Duration*: 12 months

*Location*: GIPSA-lab, Campus Universitaire, Grenoble, FRANCE

*Salary*: around 2,000€ net / month depending on experience and final budget
allocation

*Supervision*: Marco Congedo, PhD, Senior Scientist (cnrs) and Bertrand
Rivet, PhD, Assistant Professor

*Contact: *Marco Congedo (marco.congedo[AT]gmail.com)

*Other collaborators at GIPSA-lab*: Christian Jutten, Gelu Ionescu.





The post-doc is part of the *RoBIK project*, recently funded by the French
National research Agency  (ANR).



Brain-Computer Interface (or BCI) corresponds to the direct use of brain
signals to send “mental commands” to an automated system such as a robot, a
prosthesis, or a cursor on a computer screen. In the previous ANR OpenViBE1
project (Dec.2005-May2009) we have developed an open-source platform to
easily design, test and use BCI  (http://openvibe.inria.fr/). In addition,
we have opened new research areas in the field of BCI, EEG signal-processing
and in Virtual Reality (VR) technologies supporting BCI applications.



In RoBIK project we aim at pushing further research on the P300-based BCI
and to implement a virtual keyboard in the Open-ViBE platform. The candidate
will focus on create and/or optimizing digital signal processing/machine
learning strategies for P300-based BCI.



The candidate should have a strong background in the theory of digital
signal processing and/or machine learning. He/she should have good
programming experience for coding and testing the new algorithms. Previous
experience with biomedical data and particularly with EEG or MEG and with
BCI is sought and would be a plus. The candidate will become part of a group
of researchers moved by common objectives. The candidate should possess good
knowledge of spoken and written English.



Please forward CV and names of two recommending colleagues to the contact
person (here above).



*References:*

* *

Congedo, M. (2006). Subspace Projection Filters for Real-Time Brain
Electromagnetic Imaging. *IEEE Trans on Biomedical Engineering*, 53(8),
1624-1634.

Congedo, M., Gouy-Pailler, C., Jutten, C. (2008). On the blind source
separation of human electroencephalogram by approximate joint
diagonalization of second order statistics. *Clinical Neurophysiology*, 119,
2677-2686.

Congedo, M., Lotte, F., Lécuyer, A. (2006). Classification of movement
intention by spatially filtered electromagnetic inverse solutions. *Physics
in Medicine and Biology*, 51, 1971-1989.

Congedo, M., Lubar, J.F. and Joffe, D. (2004). Low-resolution
electromagnetic tomography neurofeedback. *IEEE Trans on Neural Systems and
Rehabilitation Engineering*, 12(4), 387-97.

Jutten C., Comon P. (Eds). Séparation de sources; Vol. 1 : Concepts de base
et analyse en composantes indépendantes. Vol. 2 : Au-delà de l’aveugle et
applications. Lavoisier, 2007.

Jutten C.,  Hérault H. (1991) Blind separation of sources, part i: an
adaptative algorithm based on neuromimetic architecture, *Signal Processing*,
vol. 24, pp. 1–10.

Rivet B., Souloumiac A., Attina V., Gibert G.(2009). xDAWN algorithm to
enhance P300 evoked potentials: application to brain computer interface. *IEEE
Trans on Biomedical Engineering*. In press.

Rivet, B., Girin, L., Jutten, C. (2007). Log-Rayleigh distribution: a simple
and efficient statistical representation of log-spectral coefficients. *IEEE
Trans on Audio, Speech and Language Processing*, 15(3), 796-802.


-- 
Marco Congedo
http://www.lis.inpg.fr/pages_perso/congedo/MC_Home.html
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