[Comp-neuro] PhD studentship, University of Genoa, Italy;
brain networks from deep brain electrophysiological data
andrea.schenone at unige.it
Mon Jun 27 14:39:12 CEST 2011
Applications are invited for a PhD studentship starting January 2012 at
the Bioengineering Lab (http://www.bio.dist.unige.it) of the University
of Genoa (Italy). The studentship will have 3 year duration.
Research activities will concern the study of brain networks, drawn from
both structural and functional data, and the analysis of their both
effective and functional connectivity which is a crucial task to fully
understand the difference between descriptions of patterns of neural
activity and possible explanations of their origins.
The project will deal with functional deep brain electrophysiological
data of either spontaneous and evoked response acquisitions all together
with structural imaging information (MRI/CT). The aim is to build
integrate tools to visualize, analyze and classify brain networks for
both inter and intra subjects studies. There are several non-trivial
problems that should be addressed within this scenario, like the
reduction of volume conduction artifacts and the choice of the
statistical paradigm used for analysing connectivity, either extending
existing tools and developing new ones.
Applicants should have a Master's degree, and have a background in
biongineering, computer science, physics or related fields. Programming
experience in C/C++ and/or Matlab would be beneficial but ability and
desire to learn is essential. Ideally, applicants should have both
knowledge of non-linear time series analysis techniques applied to EEG
data and graph theory. The candidate should be able to demonstrate
independence and curiosity.
Applicants are encouraged to contact Dr Marco Fato (marco.fato at unige.it)
prior to their application by providing a short statement of their
research interests and a summary of qualifications. A PhD research
proposal will need to be prepared as part of the formal application.
Deadline for applications will be on August 2011.
More information about the Comp-neuro