The Department of Radiology at UC Davis invites applications for a postdoctoral research position focusing on the development and optimization of computational techniques for biomedical image analysis. Specific projects will involve image segmentation, registration, and visualization spanning preclinical and clinical data. The successful candidate will have a Ph.D. in the Engineering or Medical Physics fields and a strong background in both the theoretical aspects and practical implementation of algorithms for image analysis, as evidenced by first author journal papers and conference abstracts. Experience in the validation of image processing methods, atlas-based image analysis, MRI reconstruction, and inverse problems are highly desirable. Ability to communicate and collaborate with an interdisciplinary group of clinicians and scientists is necessary. Both fresh Ph.D. and more experienced candidates will be considered.
UC Davis offers outstanding research and training opportunities for the successful candidate. The infrastructure consists of a range of preclinical and clinical imaging systems, and access to high performance computing resources. There are established collaborations with the Center for Molecular and Genomic Imaging and the Departments of Medicine, Surgery, Pathology, Oncology, Physical Medicine and Rehabilitation, Mechanical Engineering and Biomedical Engineering. UC Davis is ranked 9th among U.S. public universities (U.S. World and News Report). The university is located in Northern California, within easy reach of Lake Tahoe, San Francisco, Napa Valley, Yosemite and the Northern California coast.
Interested candidates should contact Dr. Abhijit J. Chaudhari by email at email@example.com with “Postdoc position in Image Analysis” in the subject line. Applicants must attach a detailed CV, and contact information for at least two referees. More information about the research group is here: http://bme.ucdavis.edu/chaudhari/