The successful candidate will perform computational and mathematical studies to characterize the connectivity patterns (complex networks) extracted from an already acquired database of structural (diffusion MRI) and resting-state functional data (fMRI) of healthy subjects and epileptic patients undergoing presurgical evaluation. The ideal candidates have experience in the study of connectivity information from diffusion and/or functional MRI data. She/he must have a background in applied mathematics/physics and good computational skills (MATLAB, C++).
The fellow will become part of the FP7-European Project "multi-LAyer SpAtiotemporal Generalized NEtworks" (LASAGNE) focused on the study of spatio-temporal complex networks in terms of multi-graphs embedded in space and time. The Fellowships will be allocated to the Institut du Cerveau et de la Moëlle (ICM), at La Pitié-Salpêtrière Hospital in Paris, France.
The institutional position of the ARAMIS group allows a multidisciplinary approach for the study of brain connectivity. The group includes researchers with diverse expertises, ranging from connectivity analysis of neurophysiological data to clinical neurosciences, including statistical physics of graphs. For more information regarding the ICM's research see http://research.icm-institute.org/
Review of applications is open until position is filled. Applications should include a CV, a list of publications, and a description of research interests. In addition, applicants should send a letter of recommendation. Applications should be sent by email (quoting "postdoc LASAGNE") to:
Dr. Mario Chavez <email@example.com>
Dr Lionel Thivard < firstname.lastname@example.org>