Postdoctoral Position in Clinical Neuroimaging


University of California, San Francisco, Department of Neurology, Memory and Aging Center


San Francisco , California

Principal Investigator

Suzee E. Lee


To apply, please send a cover letter describing your research interests and qualifications, a curriculum vitae, and at least three references to


The mission of the Dementia Imaging Genetics lab at UCSF is to understand the underlying biology of genetic dementias to improve the diagnosis and monitoring of preclinical and early stage disease. Using neuroimaging techniques, we map the neural circuits targeted in genetic frontotemporal lobar degeneration (FTLD).

The postdoctoral fellow will contribute to ongoing experiments and pursue self-directed projects within the lab’s area of investigation. Studies include neuroimaging research in patients with genetic FTLD and their presymptomatic family members by developing multimodal structural and functional neuroimaging methods, such as functional connectivity MRI and diffusion tensor imaging. The fellow will also integrate neuroimaging studies with behavioral and biofluid marker datasets to study the clinical, anatomical, and neuropathological correlates of disease.

The postdoctoral fellow will work with a multidisciplinary team of neurologists, neuropsychologists, and neuroscientists. Research recruitment is supported by an extensive network of collaborative research projects at the UCSF Memory and Aging Center, with large datasets of archived MRI data available for analysis. We are looking for creative, motivated, fun people to help improve the lives of our patients and families.

UCSF 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, age, protected veteran or disabled status, or genetic information.

Applications will be reviewed on an ongoing basis. Salary will be competitive and commensurate with experience.


Ph.D. in neuroscience, psychology, or related field is required. Competitive candidates will have a strong interest in neurodegenerative diseases and expertise with neuroimaging and computer programming (Matlab, R, Python, etc.). Previous experience working with clinical neuroimaging is preferred.