We are seeking a well-trained researcher with demonstrated expertise in functional neuroimaging and/or EEG and a strong interest in translational research including sleep, cognition, mood dysregulation, and affective neuroscience.
The candidate will focus on an NIMH funded project understanding the relationship between sleep, affective brain function, and mood dysregulation in Alzheimer’s dementia. In this role, they will oversee data acquisition and analyses for a longitudinal neuroimaging and EEG study combined with a targeted sleep intervention. Opportunities are available immediately to drive publications based on previously collected polysomnography data. FMRI acquisition for this project will start in February of 2020 and includes task-based and resting state fMRI data as well as polysomnography data.
The position will be based within a collaborative team and work closely with PI Goldstein-Piekarski. The CoPsyN Sleep Lab values diversity, cooperation, fairness, efficiency, and conscientiousness and is committed to maintaining an inclusive and supportive environment for all members regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status.
Along with a deep knowledge of neuroimaging, EEG analysis, and computational approaches, familiarity with psychological concepts and/or experience with human subject data is also preferred.
This position is available as part of an NIH-funded project. The candidate will be based at Stanford and the Palo Alto VA within the CoPsyN Sleep Lab, working with an excellent inter-disciplinary team of investigators and research coordinators.
· 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 analyzing EEG/PSG data
· 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 neuropsychiatric symptoms in Alzheimer’s Disease. A clear motivation to pursue human neuroimaging research in these discipline areas is important.
To apply, please email a cover letter addressing requirements, CV or resume, and at least three references to email@example.com.