Post-Doctoral, Deep Learning In PET/CT

Yale University
Location: 
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 (chi.liu@yale.edu), Associate Professor of Radiology and Biomedical Imaging, or Dr. James Duncan (james.duncan@yale.edu), Professor of Radiology and Biomedical Imaging, or Dr. Xenophon Papademetris (xenophon.papademetris@yale.edu) Professor of Radiology and Biomedical Imaging.

 

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