Must have a Ph.D. or equivalent; be able to undertake substantially full-time research or scholarship; work under the supervision of a senior scholar.
PhD in engineering or neuroscience. Experience in the analysis of both structural and functional human neuroimaging data. Focus will be on analyzing and writing journal articles on behavioral and neuroimaging data collected on a series of lifestyle intervention studies. The possibility also exists for the conduct of new intervention studies. Familiarity with neuroimaging analyses including task-based fMRI, resting-state fMRI, MRI (e.g., cortical thickness), and diffusion (e.g. fractional isotropy, tractography) using standard packages such as SPM, FSL, AFNI, Freesurfer, Tracula, and Conn. Familiarity with multimodal integration, machine learning, deep learning and prediction is a major plus. Familiarity with fMRI preprocessing pipelines (e.g., fMRIprep) and quality assurance routines (e.g., art) is also a major plus. Experience in programming and scripting with Matlab, R, or Nipype is essential.