We are seeking to recruit a post-doctoral fellow focused on neuroinformatics. Anticipated research focus for this position would be to lead a major multi-site effort to aggregate, process, harmonize, curate, and publicly release major large-scale neuroimaging studies of brain development (anticipated n>10,000). Specifically, the fellow will be expected to create robust, reproducible, and scalable pipelines for the analysis of both structural and functional imaging data. Furthermore, the fellow will use sophisticated multivariate analytics to understand how abnormal patterns of brain development associate with and predict neuropsychiatric syndromes. As such, the position will involve working as part of a highly-interdisciplinary research team, with particular emphasis on collaborative work with leaders including Matthew Cieslak (imaging informatics), Christos Davatzikos (multivariate pattern analysis), Danielle Bassett (network theory), Taki Shinohara (imaging statistics), and Mike Milham (Child Mind Institute; brain development and open science). To work effectively in this highly collaborative environment, the applicant must have superior communication, language, and writing skills. The applicant must have completed their Ph.D. in, engineering or computational neuroscience (preferred), psychology, or statistics with an established record of high productivity. Expertise in Python, R, and neuroimaging software (e.g., ANTs, FSL, AFNI, FreeSurfer) is required; experience with NiPype and Docker is highly desirable. Salary is quite flexible and based upon experience; position is contingent upon funding. Applicants should email their CV and cover letter to Ted Satterthwaite (firstname.lastname@example.org) and Matthew Cieslak (Matthew.Cieslak@pennmedicine.upenn.edu).
I am seeking to recruit a Senior Research Scientist to lead the analytic efforts of a multi-institution initiative in developmental data science. This initiative will create a large-scale public resource for developmental human neuroscience. In collaboration with Mike Milham at the Child Mind Institute, we will aggregate, process, harmonize, and publicly share >10,000 structural and functional images for youth ages 5-22. Using this massive data resource and advanced tools from network science and machine learning, we will identify normative patterns of brain network development, and identify how abnormal network development is associated with specific dimensions of psychopathology. This position will involve working as part of a highly-interdisciplinary research team that includes experts in diverse fields such as network science (Danielle Bassett), multivariate pattern analysis (Christos Davatzikos), and imaging statistics (Taki Shinohara). To work effectively in this highly collaborative environment, the applicant must have superior communication, language, and writing skills. The applicant must have completed their Ph.D. in neuroscience, engineering, psychology, or statistics with an established record of high productivity; prior post-doctoral training is highly desirable. Expertise in using neuroimaging software (e.g., FSL, ANTs, AFNI), statistical packages (e.g., R), and scripting languages (e.g., nipype, python, bash) is required. Highly competitive salary is flexible and based upon experience. Email cover letter and CV to and Matthew.Cieslak@pennmedicine.upenn.edu.