Postdoctoral Scholar in Multimodal Human Brain Imaging

USC Davis School of Gerontology
Los Angeles, California
August 30 2017
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The University of Southern California (USC), founded in 1880, is located in the heart of downtown Los Angeles and is the largest private employer in the City of Los Angeles. USC is consistently ranked among the nation’s most prestigious universities, and the USC Leonard Davis School of Gerontology features one the world’s best degree and research programs in gerontology. The USC Davis School has an international reputation as a hub of aging research and, with additional strong programs throughout the university, leads the way in defining and advancing the field of gerontology.

The Laboratory of Andrei Irimia, PhD ( at the USC Leonard Davis School of Gerontology seeks a postdoctoral research scholar interested in the development, validation and application of novel computer-based methods for the automated analysis of multimodal brain imaging data sets [including, in particular, magnetic resonance imaging (MRI), diffusion tensor imaging (DTI) and computed tomography (CT)] acquired from human volunteers. The scholar will develop and/or use cutting-edge techniques for computational neuroanatomy, neuroimage analysis and multivariate statistics to advance the state of the art in MRI/DTI/CT neuroimage analysis and to quantify brain structure throughout early, middle and late adulthood. 

The ideal candidate will have expertise in multimodal MRI/DTI/CT, strong skills in image processing (particularly registration, segmentation, atlasing, surface modeling, voxel-based morphometry), experience with structural neuroimaging analysis (e.g. FreeSurfer, AFNI, FSL, SPM or similar), DTI tractography (e.g. TrackVis, DSI Studio, etc.) and statistical analysis (e.g. SPSS). Excellent scientific writing skills and a strong publication record are highly desirable. Solid programming skills (MATLAB, preferably) and working knowledge of Linux are essential. The successful applicant will be able to work independently with a small amount of supervision and must demonstrate good interpersonal skills as well as an interest in collaborative research. Importantly, s/he must be a hard-working individual who is interested in building a strong publication record. 

A PhD or equivalent doctorate (received within the previous five years) in neuroscience, neurobiology, engineering, biophysics, computer science or applied mathematics is required. Applicants with degrees in related fields will also be considered, and individuals with strong quantitative and computational backgrounds are particularly encouraged to apply. Self-motivation and a strong interest in building an outstanding publication record is essential.

USC is an equal opportunity, affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC will consider for employment all qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring ordinance.

If you are interested, please submit your application at Please include a cover letter and curriculum vitae with 3-5 professional references. Thank you for your interest!

Minimum Education: Ph.D. or equivalent doctorate within previous five years
Minimum Experience: 0-1 year
Minimum Field of Expertise: Directly related education in research specialization with advanced knowledge of equipment, procedures and analysis methods.