at the Brain Imaging Center (BIC) of the Montreal Neurological Institute (McGill University, Montreal, Canada)
Our lab is part of the BIC, an internationally recognized and multidisciplinary centre of neuroimaging, and associated to the Epilepsy Group of the Montreal Neurological Institute and Hospital, a tertiary center that evaluates approximately 200 patients per
year for the pre-surgical investigation of drug-resistant seizures. Our group brings together graduate students and postdoctoral fellows in Neuroscience, Cognitive Science, Computer Science, Biomedical Engineering, and Neurology.
We use high- and ultra-high field (3 and 7T) structural and functional MRI analysis to characterize cortical architecture, function, metabolism, and networks. We seek to identify novel patient phenotypes and biomarkers of disease. Main topics include automated
lesion detection through neuroimage-based machine-learning, surface-based subcortical and cortical modelling, analysis of brain networks using graph-theory. We are interested in tracking disease progression and its consequences on brain plasticity, connectivity,
and cognition.
The
postdoctoral fellow will carry our research projects that combine multi-modal neuroimaging with advanced data analysis (graph theoretical network analysis, machine learning, multivariate modeling) in large and well-documented cohorts of patients
with drug-resistant epilepsy. Possibility to participate in several multi-centric and longitudinal studies. Requirements: PhD in Neuroscience, Computer Science, Cognitive Science, Engineering, or related fields; experience in neuroimaging, data analysis, programming;
strong publication record.
The
PhD student will perform research centered on the development of neuroimaging applications to improve our understanding and diagnostic routines of human epilepsy. The PhD will be carried out within the Integrated Program in Neuroscience at McGill
University (IPN,
https://www.mcgill.ca/ipn/), the largest inter-disciplinary, inter-departmental graduate program in neuroscience in Canada. Requirements: MSc in Neuroscience, Cognitive Science, Computer Science, Biomedical
Engineering, or related fields; solid mathematical and statistical knowledge; previous experience in neuroimaging and data analysis is an asset.