The
Stanford
Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu)invites
applications for a postdoctoral fellowship in human brain network analysis and modeling. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state and task-evoked fMRI connectivity, structural HARDI-based connectivity, neurophysiological modeling of
brain networks, Bayesian modeling, machine learning, and deep neural networks. Candidates must have strong computational skills and a PhD in computational neuroscience, computer science, physics, biomedical engineering or related fields. This is an exciting
opportunity to work on multiple NIH- and Stanford-funded projects using multimodal
(fMRI, optogenetic, DTI,
EEG) brain imaging techniques in multiple clinical populations
and normative groups. The successful candidate will develop a vigorous research
program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and HPC/GPU facilities. Please
email a CV, statement of research interests and relevant background, and have three letters of reference sent to Prof. Vinod Menon at scsnl.stanford+postdoc@gmail.com