POSTDOCTORAL POSITION IN NEUROIMAGING AND COMPUTATION
Are you interested in innovative computational approaches and looking for existing large imaging datasets to work on? We are seeking a well-trained postdoctoral scientist with deep experience in human neuroimaging, interested in developing cutting-edge new computational approaches relevant to mental health applications. Desired candidates will have expertise in modeling both resting and task-fMRI data and preferably in machine learning approaches.
The candidate will have the opportunity to work with unique and large datasets of repeat scans collected over multiple time points, including before and after treatment. Thus the data also affords the ability to model the impact of both pharmacological and behavioral interventions on brain activation and connectivity. This candidate will also have the opportunity to develop new modeling approaches to integrate imaging data with behavioral, physiological, self-report, and passively sampled data. The selected candidate will be able to jump immediately into the analysis of rich existing datasets and drive publications from the outcomes.
Along with a deep knowledge of neuroimaging and computational approaches, familiarity with psychological concepts and/or experience with human subject data is also preferred.
This position is supported by priority projects funded by the National Institutes of Health. It will be based at Stanford, within the William’s PanLab, and work within an excellent and inter-disciplinary team of faculty investigators, postdocs and research coordinators.
- Ph.D. or M.D./Ph.D. in a field(s) relevant to functional neuroimaging, cognitive affective neuroscience and computational precision psychiatry.
- High level experience with functional magnetic resonance imaging. Substantial experience with imaging analysis software (including SPM, AFNI, etc.) and connectivity toolboxes is desired.
- Substantial experience in statistical analysis and computational approaches. Experience with R or similar scripting environments is essential.
- A clear motivation to pursue research in computational approaches to neuroimaging with clinical relevance.
- Self-motivated with a preference for working within an inter-disciplinary, collaborative environment
More about the lab: http://williamspanlab.com
Benefits: Full benefits
Applications: Applications with a cover letter addressing requirements, a resume and at least three referees to firstname.lastname@example.org. The position is open until filled.