Postdoc in Computational Molecular Imaging

University of California Davis Medical Center
Sacramento, California, USA
Job Type: 
Full Time
Closing Date: 
Sunday, March 31, 2019

POSITION We are seeking a highly motivated Postdoctoral Scholar to work in the area of computational molecular imaging in the Department of Radiology at the University of California, Davis. The position is open immediately. The successful candidate will lead a project that develops and implements new dynamic PET/CT image reconstruction and kinetic modeling methods for enabling multiparametric imaging on clinical whole-body PET/CT scanners and cutting-edge total-body EXPLORER scanners. This project involves the opportunities of developing and implementing deep learning methods for multiparametric PET/CT imaging. Yearly salary for the position will be commensurate with experience level and qualification.

ENVIRONMENT AND OPPORTUNITIES The successful applicant will join in a dynamic team that involves experts in various aspects of biomedical imaging, having extensive opportunities to be exposed to cutting-edge technological developments in PET, CT, MRI, and other imaging modalities. UC Davis is ranked 9th among U.S. public universities and the Medical Center is ranked top 20 hospitals in primary care (U.S. World and News Report). Clinical collaborations and career development in translational imaging will be available to the Postdoctoral Scholar.

REQUIREMENTS The applicant should have a doctoral degree in medical physics, biomedical engineering, electrical engineering, computer science, or related field. The ideal candidate will be creative with prior experience in one or more of the following computational imaging areas: image processing, tomographic image reconstruction, motion estimation, tracer kinetic modeling, and machine learning. Skills of programming are essential. Background in mathematics and physics is a plus.

APPLICATION Interested candidates please send your curriculum vitae and the names and contact information of three references to Dr. Guobao Wang ( at the Department of Radiology, UC Davis Medical Center.