Post-Doctoral, Deep Learning In PET/CT

Yale University
New Haven, Connecticut, USA
Job Type: 
Full Time
Closing Date: 
Monday, June 3, 2019

Yale University Department of Radiology and Biomedical Imaging has multiple positions of postdoctoral fellow for PET/CT imaging research, particularly on the deep learning applications in PET. The candidates will be exposed to a unique training and research environment supported by multiple NIH R01 grants and strong Academic-Industrial Partnerships. Research projects will focus on incorporating deep learning methods into dose-reduction techniques and motion correction methods for PET/CT.


Applicants should have a Ph.D. in electrical engineering, biomedical engineering, medical physics, or a related field. Strong analytical, programming, and experimental skills are essential. Experience in deep learning, image analysis, algorithm development, or image reconstruction is highly desirable.


Interested individuals should send a C.V., letter of interest, and contacts of three references by email to Dr. Chi Liu (, Associate Professor of Radiology and Biomedical Imaging, or Dr. James Duncan (, Professor of Radiology and Biomedical Imaging, or Dr. Xenophon Papademetris ( Professor of Radiology and Biomedical Imaging.


To schedule a meeting at the MICCAI meeting, please email Dr. Duncan.