Postdoctoral Fellowships (National Institutes of Health)
Friday 19th February 2021
Closing Date: Open until filled.
Description: A post-doctoral fellowship is available for radiology image processing in Bethesda, Maryland, USA. Specific interest areas are deep learning, image segmentation, modeling, visualization, pattern recognition, computer-aided diagnosis, multi-organ models, and registration. In particular, advanced skills in image processing (computer vision, mathematical modeling, optimization, machine learning) are sought. The researcher will work closely with computer scientists, imaging specialists and clinicians and have access to state-of-the-art whole body MRI, MRI-PET, low-dose CT scanners, advanced graphics workstations and parallel processing/GPU clusters including the world-renowned NIH Biowulf high performance computing cluster.
Basic Qualifications: Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or related discipline with experience in Computer Vision, Machine Learning, or Image Understanding domains, along with successful publication track record.
Desirable Qualifications: Strong theoretical and practical background in computer vision, image and video analysis, including object detection and recognition, statistical pattern recognition, machine learning, sparse methods and applied optimization. Prior knowledge about medical imaging is a plus but not a must. Enthusiasm in solving real world clinical imaging problems using large datasets, and hands-on coding skills and ability in Python, C++ and Matlab and one or more deep learning frameworks (ie. PyTorch, TensorFlow, Keras).
This appointment is for one year and is renewable thereafter on a periodic basis (up to five years). Applications should include a CV, brief statement of research interests and three letters of reference. DHHS and NIH are Equal Opportunity Employers.
Email application materials to Dr. Ronald Summers at email@example.com.
Ronald Summers, M.D., Ph.D.
Chief, Imaging Biomarkers and Computer-Aided Diagnosis Laboratory
|Organization||National Institutes of Health|
|Location||Bethesda, MD, USA|