Postdoc or Research Faculty, Deep Learning in PET/CT Imaging

Tuesday 14th January 2020

Yale University

Yale University Department of Radiology and Biomedical Imaging has multiple positions of postdoctoral fellow or Associate Research Scientist (research faculty rank) 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. The candidates will have access to power computational resources and large amount of training datasets. 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, computer science, 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

Organization Yale University
Location New Haven, CT
Title Postdoc or Research Faculty, Deep Learning in PET/CT Imaging