The Center for Multimodal Imaging and Genetics at the University of California, San Diego invites applicants for a postdoctoral research position in multimodal image analysis methods development within the data analysis informatics core of a large-scale, national neurobehavioral project. We are looking to build a team to help build the next generation of image acquisition protocols, 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 our project, please see the ABCD Study press release, our Multimodal Imaging Laboratory website, and the PING Study website.
A Ph.D. or equivalent degreeResearch experience in automated cortical- and subcortical segmentation, advanced diffusion tractography, and fMRI mapping and time series analysisExperience with FreeSurfer, FSL, and the Human Connectome analysis pipelinesExtensive experience with Matlab, Python, C/C++ or other relevant programming languagesExcellent organizational and problem-solving skills; ability to plan, prioritize and keep multiple projects/tasks moving forward at onceA track record of documented productivity and should be comfortable working in a large team environment
To apply, please submit a current CV, a personal statement describing your experience and interests, and contact information for 3 references to firstname.lastname@example.org.