A Postdoctoral Research Associate position in advanced MRI acquisition, analysis, and modeling is available in the Department of Radiology at the University of Virginia School of Medicine, under the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in the healthy human brain, with future applications in neurodegenerative disorders. This position supports a broader effort to understand brain clearance mechanisms and their relationship to traumatic brain injury and long-term neurological health. The overarching goal is to create new imaging methodologies with improved sensitivity and specificity to study the interaction of neurofluids and neurodegeneration, along with detecting early microstructural changes, by combining advanced acquisition, reconstruction, and modeling approaches. The position is based in a state-of-the-art neuroimaging research facility that houses advanced 3T human and 9.4T preclinical MRI scanners, both equipped with ultra-high-performance gradient systems. Postdoctoral employment is normally limited to an individual who has been awarded a doctoral degree within the previous five years. This is a 12-month appointment with the possibility of renewal (for an additional two, one-year increments) contingent upon satisfactory performance and the availability of funding. Salary will be commensurate with education and experience. This position is based in Charlottesville, VA, and is eligible for a hybrid schedule with several days on grounds per week and additional on-site presence as needed, in accordance with UVA’s remote work guidelines. For information on resources for postdocs at UVA, visit https://postdoc.virginia.edu/. To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA. Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees