The Stanford Cognitive and Systems Neuroscience Laboratory invites applications for a postdoctoral fellowship in computational modeling of human brain imaging data using deep neural networks. The successful candidate will be involved in a multidisciplinary project that seeks to develop novel computational frameworks for robust identification of neurobiological signatures of psychiatric and neurological disorders combining deep learning and convolution networks and dynamic brain circuit analyses with task and resting-state fMRI. Clinical disorders currently under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, schizophrenia, and Parkinson’s disease. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: deep learning algorithms and optimization (theory and practical implementations); computational modeling, statistical inference, and machine learning, especially as applied to fMRI and MRI data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPGPUs. Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Drs. Vinod Menon and Aarthi Padmanabhan at email@example.com
Internal Number: 1070
About Stanford University
Vinod Menon is a Professor of Psychiatry and Behavioral Sciences and of Neuroscience, and Director of the Stanford Cognitive & Systems Neuroscience Laboratory in the Stanford University School of Medicine. He has broad multidisciplinary expertise that spans several scientific disciplines and has published extensively on various aspects of human cognition and brain function. He is especially interested in the development, maturation and organization of functional networks in the human brain, and its impact on cognition and behavior.