The analyst will implement the latest approaches developing in the field of imaging neuroscience — including but not limited to pattern classification, prospective prediction, machine learning, effective connectivity, connectomics/graph theory, computational modeling – and train others (faculty, postdocs, graduate students) on conventional and new analysis techniques. The position will involve analyzing data across multiple modalities including self-report, behavior, psychophysiology (SCR, startle), EEG/ERP, DTI, structural MRI and functional MRI – at single-unit and integrated levels. The data analyst will work amongst diverse investigators across disciplines (e.g., neuroscience, psychology, psychiatry).
Successful applicants will have a Masters- or PhD-level degree in neuroscience, psychology, computer science, statistics/biostatistics or mathematics and/or a record of extensive experience in analyzing structural and functional MRI data. Applicants should also be fluent in SPM (or AFNI/BrainVoyager), statistical packages (e.g., Matlab and R), and programming languages (e.g., Unix). Excellent communication (verbal and written) and organizational skills are required. The position will be fully funded for at least 2 years with the potential for a longer-term position. We will review applications beginning March 1, until the position is filled. Applicants should send a CV, a statement describing their qualifications for the position and relevant experience, and the names of 2-3 references that may be contacted for a recommendation to Dr. Morelli (smorelli@uic.edu) and Dr. Phan (klphan@psych.uic.edu).