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Post-doc position at Indiana University- brain networks

last modified Aug 28, 2018 03:27 PM

We are recruiting a postdoc interested in applying network approaches to study human and non-human structural and functional brain networks. The ideal candidate is interested in exploring brain connectivity at different spatial, temporal, and topological scales and linking connectivity to behavior. The postdoc will join a growing community of researchers and trainees interested in interdisciplinary applications of network science, spanning the Department of Psychological and Brain Sciences, the Cognitive Science program, the School of Informatics, and the IU Network Science Institute. This position is guaranteed for 1 year (renewable up to 3 years total).

Applicants should have a Ph.D. in neuroscience, psychology, computer science, statistics, engineering, or a related area. The ideal candidate should have a strong quantitative background with previous training in computational, network, or cognitive neuroscience. Strong programming skills in scientific computing languages (e.g. Python, MATLAB, etc.), familiarity with neuroimaging analysis software, and advanced analysis methods (e.g., graph theory, functional connectivity, multivariate analyses) is preferred. The position is available immediately, but the start date is flexible. We will begin reviewing applications immediately and continue on a rolling basis until the position is filled. Salary is commensurate with NIH guidelines and experience and includes health benefits. If interested, please contact Rick Betzel ( As part of your application, please include: 1. a cover letter that includes a proposed start date, 2. a short statement of research interests, 3. an up-­to-­date CV, 4. and copies of representative publications. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status.