Applicants are invited for a postdoctoral position in the field of neural engineering with the focus on Brain Computer Interface (BCI).

The successful applicant will perform research in the fields of signal processing, adaptive modeling, machine learning and fast calculations for real time applications in the frame of project ICOBI (Brain- Computer Interface. Self-learning adaptive embedded solution) of Foundation "Nanoscience at the limits of Nanoelectronics". The particular goal of the project is the development of self paced ECoG based BCI with multiple degrees of freedom. The postdoctoral scientist will contribute to study of movement related brain dynamics. He/she will collaborate within an interdisciplinary team of researchers whose expertise spans mathematics, computer science, microelectronics, nanoscience and neuroscience with the goal of performing functional BCI system.

The ideal candidate will have a doctoral degree, or equivalent, in a relevant discipline (Computer Science, Mathematics, Physics) with an emphasis on computational approaches to the neuronal systems analyses.

Programming in Matlab and C/C++ will be part of the project.

Candidates with the experience in EEG/ECoG based BCI or in EEG/ECoG data analysis will be preferred.

The research will be performed within the project RTRA Chair of excellence « Brain-Computer Interface. Self-learning adaptive embedded solution » (Dr. T.I.Aksenova) at the Centre of Atomic Energy (CEA, Grenoble, France). Namely it will be conducted within CEA-LETI- CLINATEC (scientific direction of Prof. A.-L. Benabid). For more information look at http://www-leti.cea.fr/scripts/home/publigen/content/templates/show.asp?P=256&L=EN