[Comp-neuro] POSTDOCTORAL FELLOWSHIP IN COMPUTATIONAL MODELING OF BRAIN NETWORKS at Stanford University

Aarthi Padmanabhan aarthi at stanford.edu
Tue Jul 11 18:37:33 CEST 2017


The Stanford Cognitive and Systems Neuroscience Laboratory 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 names of three referees to Drs. Vinod Menon and Aarthi Padmanabhan at scsnl.stanford+postdoc at gmail.com<mailto:scsnl.stanford at gmail.com>


Aarthi Padmanabhan, PhD
Scientific Research Director
Stanford Cognitive and Systems Neuroscience Laboratory
Department of Psychiatry and Behavioral Sciences
Stanford University School of Medicine
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