POSTDOCTORAL POSITION AVAILABLE AT THE NATHAN KLINE INSTITUTE ============================================================ Applications are currently being invited for a minimum 2-year postdoctoral fellow position available at the Nathan S. Kline Institute (NKI) starting in September, 2013. The NKI makes use of innovative MRI-based imaging approaches to characterize brain maturation across the lifespan, with a particular focus on understanding the impact of psychiatric illnesses on maturational and aging processes (http://fcon_1000.projects.nitrc.org/indi/enhanced/). Additionally, the NKI is dedicated to the support of open-datasharing initiatives, such as the 1000 Functional Connectomes Project and the International Neuroimaging Data-sharing Initiative (INDI; http://fcon_1000.projects.nitrc.org/ ). Salary is competitive and benefits include health, vision, and dental. Candidates should be interested in the application of discovery-science based approaches to the study of human brain function and the characterization of brain development and maturation in clinical and non-clinical populations. The overarching goal of our work is to identify objective imaging-, phenotypic- and genetic-based markers of pathology that will eventually serve to facilitate the detection of psychiatric illness and/or guide clinicians in the selection of treatments and determination of treatment response. The fellow will be expected to take a multidisciplinary approach to their work, drawing from a broad range of disciplines (e.g., clinical psychology, cognitive neuroscience, computer science, engineering, mathematics, neuropsychology). In order to facilitate this process, they will work as part of a multidisciplinary team, integrating findings obtained from a variety of imaging approaches including: resting state functional MRI, simultaneous EEG/fMRI, diffusion tensor imaging, cortical thickness, volumetrics. Qualifications The minimum qualifications for a successful candidate include: - completed PhD in biomedical engineering, electrical engineering, computer, cognitive neuroscience, or related fields; - significant prior neuroimaging experience with functional MRI and/or or EEG - strong skills in usage of one or more common functional neuroimaging (FSL, SPM, AFNI) packages - Programming experience in Python, Matlab, C/C++ or similar platform is a plus Anticipated start date: September, 2013 If interested, please contact me at mmilham(a)nki.rfmh.org