Closing Date: July 1, 2021
Description: The Carnegie Center for Surgical Innovation at Johns Hopkins University has a postdoctoral research fellow position opening for a highly qualified personnel to work on research in medical image processing and analysis using artificial intelligence (AI) technology. A team of physicists, computer scientists, and engineers are working on image-guided surgery and radiation therapy problems in which the fellow will work on AI-based organ segmentation, multi-modal image registration, and real-time image guidance. Areas of major clinical application include robot-assisted neurosurgery and image-guided prostate radiotherapy in close collaboration with surgeons and radiation oncologists.
An ideal candidate should have a Ph.D. in biomedical or electrical engineering, computer science, or medical physics with a strong background and interest in medical image processing/analysis and machine learning. Programming experience in python, Matlab, C++, ITK/VTK, CUDA, tensorflow, pytorch is a plus.
This is an exciting research opportunity to learn and work on latest and cutting edge techniques in medical image processing, machine learning, multi-modality imaging, and image-guided interventions in collaboration with multi-disciplinary team. Resources available to the research included dedicated laboratories for 3D imaging, robot-assisted interventions, and high-speed GPU computing within an interdisciplinary research environment at Johns Hopkins Hospital.
Interested applicants should send their CV and names of three professional references to Dr. Jeff Siewerdsen [jeff.siewerdsen(at)jhu.edu] and Dr. Junghoon Lee [junghoon(at)jhu.edu].
The Johns Hopkins University is an EEO/AA Employer. The Department of Biomedical Engineering and the Department of Radiation Oncology and Molecular Radiation Sciences are committed to building a diverse educational environment, and women and minorities are strongly encouraged to apply.