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Postdoctoral position in neuroimaging of emotional disorders and health behavior change
We are seeking a well-trained researcher with demonstrated expertise in functional neuroimaging and a strong interest in translational research on emotional disorders and health behaviors. The candidate will focus on priority NIH projects within the Science of Behavior Change initiative and the Human Connectome Project. In this role, they will oversee the development of novel analyses of large neuroimaging datasets, particularly for a longitudinal neuroimaging study focused on personalized interventions for comorbid depression and obesity. Opportunities are available immediately to drive publications based on fully collected multimodal data with multiple hundreds of sessions. The upcoming phase of this study will also involve application of neuroimaging measures to guide behavioral intervention, with opportunites to contribute to study design and development. In addition, there is the opportunity to develop neuroimaging analyses in a new Human Connectome Project applied in emotional disorders. Acquisition for this project is ongoing and comprises multi-band task-based and resting state fMRI data as well as diffusion imaging. The candidate would work in a thriving team of fellows, research coordinators, and engineers as well as PIs spanning clinical neuroscience and behavioral science.
Along with a deep knowledge of neuroimaging and computational approaches, familiarity with psychological concepts and/or experience with human subject data is also strongly preferred.
This position is available as part of an NIH-funded project.
The PI for the project is Dr. Leanne Williams: https://profiles.stanford.edu/leanne-williams
The candidate will be based at Stanford within the Williams PanLab, working with an excellent inter-disciplinary team of faculty investigators, postdocs and research coordinators.
• M.S., Ph.D., or M.D./Ph.D. in human functional neuroimaging, neuroscience, psychology, or related fields
• Expert level experience with image processing software and methods (MATLAB) and statistical methods (SPM, AFNI, FSL, R)
• Experience in customizing scripts to contribute to imaging analysis pipelines
• Experience in computational approaches; for example, GLM, mixed models, analyses of mediation, and cluster analysis
• Self-motivated with strong interpersonal skills and a preference for working within an interdisciplinary, collaborative environment
The scientific foundations of the research draw on cognitive and affective neuroscience, and are applied clinically to understanding depression and related health behaviors. A clear motivation to pursue human neuroimaging research in these discipline areas is important.
- Cover letter addressing requirements
- CV or resume
- At least three references