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USC is a leading private research university located in Los Angeles – a global center for arts, technology and international business. As the city’s largest private employer, responsible for more than $5 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic schools and units. As a USC employee, you will enjoy excellent benefits and perks, and you will be a member of the Trojan Family - the faculty, staff, students and alumni who make USC a great place to work. Think you’ve got what it takes to join us? We invite you to search our open positions and apply!

Postdoctoral Research Associate

Administration Los Angeles, California

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.

A laboratory 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 magnetic resonance imaging (MRI) and computed tomography (CT) data sets acquired from human volunteers. The scholar will develop and use cutting-edge techniques for computational neuroanatomy, neuroimage analysis and multivariate statistics to advance the state of the art in MRI+CT neuroimage analysis and to quantify brain structure during middle age as well as late adulthood.

The ideal candidate will have expertise in multimodal structural MRI and CT, strong skills in image processing (particularly registration, segmentation, surface modeling, voxel-based morphometry), experience with neuroimaging analysis (FreeSurfer, AFNI, FSL, SPM or similar) and statistical analysis (SPM, 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 should demonstrate good interpersonal skills as well as an interest in collaborative research.

A PhD or equivalent doctorate 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. A strong interest in building an outstanding publication record is essential.


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.

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. Please include a cover letter and resume with 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.


REQ20049062 Posted Date: 08/18/2017

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