Postdoctoral Fellowship in Biomedical Imaging The University of Cincinnati, College of Engineering and Applied Science invites applications for a Postdoctoral Research Fellow position in biomedical imaging. The successful candidate will join the Emission Tomography Imaging Lab in the Department of Biomedical Engineering, which has close collaboration with Cincinnati Children’s Hospital, Yale PET Center, and the University of Michigan Cardiovascular Center. The position is designed to train recent graduates through working on active research projects to develop image reconstruction and image analysis techniques in multimodality imaging including PET/CT, SPECT/CT, and PET/MRI with a focus on integrating machine learning techniques. The appointment will be up to two years from the date of hire.

    Candidates must have a doctoral degree in biomedical/electrical engineering, physics, medical physics, or a related engineering or science discipline. Proven expertise in MATLAB, C/C++ and/or Python programming and skills working with Linux and Windows workstations are required. Demonstrated experience with tomographic imaging and reconstruction, machine learning with a focus on medical imaging, and programming with one or more of the major deep learning packages (Pytorch, Tensorflow, Caffe, etc.) is desired.

     University of Cincinnati is a premier, public, urban research university. It was named one of the world's most beautiful college campuses and provides a diverse, inclusive, and supportive environment. Alumni from the lab have won prestigious awards and received multiple job offers from top research institutes and medical imaging companies in the US and their home countries.

   To be considered for this position, applicants should apply via the site https://jobs.uc.edu by searching for the position. Please upload the following under the 'Additional Documents' section of the application:  1) cover letter describing previous research experience, current research interests and goals, 2) curriculum vitae with a full list of publications, and 3) contact information for three references who are familiar with your research. For inquiries, please contract jing.tang@uc.edu