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 (chi.liu@yale.edu), 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