A postdoctoral position is available in computational neuroimaging, connectomics and neurocognitive intervention in Dr. Hosseini’s lab at Stanford University.

The postdoctoral fellow will lead projects involving multimodal neuroimaging (fMRI/NIRS, MRS, DWI, ASL) to examine the potential effects of long-term neurocognitive intervention on large-scale brain networks in children and older adults to inform developing personalized interventions. We are specifically looking for candidates with experience in analysis of multimodal MRI data and interest in advanced data analysis methods and computational modeling. The postdoctoral fellow will participate in collecting and analyzing multimodal neuroimaging data, developing novel methods for analyzing multimodal neuroimaging data, lead and mentor students and research assistants, and preparing manuscripts for publication. 

The position provides a unique training opportunity in advanced neuroimaging, graph theoretical and connectomics methods.

Please send your CV, names of three references, and representative publications (up to 3), to [log in to unmask] .

The research in Dr. Hosseini’ lab crosses multiple disciplines including computational neuropsychiatry, cognitive neuroscience, multimodal neuroimaging and neurocognitive rehabilitation. The computational neuropsychiatry research mainly involves investigating alterations in the organization of connectome in health and disease (Alzheimer’s disease, ADHD, Stroke, etc.) using multimodal neuroimaging techniques combined with novel computational methods. The ultimate goal is to translate the findings from computational neuropsychiatry research toward developing personalized interventions for targeted enhancement of brain networks.