This postdoctoral position will involve leading independent research, as well as conducting analysis of existing data, which can range broadly from behavioral (e.g., computerized task) to neuroimaging (e.g., fMRI) data from studies examining neurodevelopmental mechanisms of social information processing (e.g., learning, emotion, or motivational processes). Applicants can explore basic characterization of adolescence and/or translational questions related to clinical risk and resilience factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data.
Specific activities may include managing/preprocessing/analyzing behavioral and neuroimaging data, collecting new data (e.g., behavioral task, fMRI, digital phenotyping via mobile phone, wearables), presenting and disseminating research, formal supervision and mentoring of lab members at earlier career stages on independent research projects, grant writing, leading independent research and disseminating results via conferences, talks, and first-author manuscripts. Expertise in any or all of these skills is not required.