A post-doctoral position is available in network neuroscience at the University of Michigan working with Chandra Sripada in Psychiatry, Liza Levina in Statistics, and Scott Peltier in Biomedical Engineering. The successful candidate will work on funded research projects that: 1) develop new methods for quantifying individual differences and longitudinal change in brain networks (functional and structural imaging modalities); 2) implement these methods in large datasets covering childhood (ABCD) and late adulthood (UKBiobank), with a focus on characterizing changes in neurocognition (executive functions, attention, learning and memory).
Required Qualifications: a PhD in cognitive or computational neuroscience coupled with very strong quantitative skills; or a PhD in statistics, biostatistics, computer science, biomedical engineering, or another methodological discipline coupled with ability to work with brain and behavioral data. A strong background in the analysis and interpretation of neuroimaging data is a plus. Strong programming skills are a must; Matlab, R, and/or Python preferred.
This is a 2-year position that has a possibility of being extended to a third. Start date is flexible, but September 2019 is preferred. If you are interested in this position, please send a CV and research statement to Chandra Sripada (email@example.com).