Postdoc Positions for the Adolescent Brain Cognitive Development (ABCD) study

University of California, San Diego

Several funded postdoctoral positions are available in image analysis method development, including automated cortical- and subcortical segmentation, advanced diffusion tractography, and fMRI mapping and time series analysis. We are looking to build a team to help build the next generation of analysis pipelines and visualization tools for a newly funded study to follow 10,000 children with longitudinal structural and functional imaging across 19 sites across the US. The study will use a cross-platform Harmonized Human Connectome Protocol, optimized for quantitative accuracy and consistency of imaging biomarkers across scanners and time. To learn more about the ABCD study, please see http://www.drugabuse.gov/news-events/news-releases/2015/09/nih-launches-land... http://www.drugabuse.gov/news-events/news-releases/2015/09/nih-launches-landmark-study-substance-use-adolescent-brain-development.

Requirements: Applicants should have research experience in any of the above fields, with a Ph.D. or equivalent degree. They should be comfortable working in a distributed team environment, and should have a track record of quality scientific publications. Candidates are expected to be experienced in programming with Matlab, Python, and/or <> C/C++. Experience with FreeSurfer, FSL, and the Human Connectome analysis pipelines is strongly preferred.

To formally apply, submit a current CV, a personal statement describing your research experience and interests, and contact information for 2-3 references to abcd@ucsd.edu mailto:abcd@ucsd.edu. Or feel free to email Dr. Donald Hagler (dhagler@ucsd.edu mailto:dhagler@ucsd.edu) or Anders M. Dale (amdale@ucsd.edu mailto:amdale@ucsd.edu) for more information.

The University of California, San Diego is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.