Postdoctoral Fellow in Artificial Intelligence for Medical Image Analysis

Wednesday 26th January 2022

Organization Johns Hopkins University
Location Baltimore, United States
Title Postdoctoral Fellow in Artificial Intelligence for Medical Image Analysis
Email Address
Closing Date: until filled

Medical Image Computing and Analysis (MICA) Lab in the Division of Medical Physics, Department of Radiation Oncology and Molecular Radiation Sciences, and also affiliated with the Carnegie Center for Surgical Innovation ( at Johns Hopkins University has multiple postdoctoral research fellow positions opening for a highly qualified personnel to work on research in medical image processing and analysis using artificial intelligence (AI) technology. Multidisciplinary team of physicists, computer scientists, engineers, and physicians are working on image-guided radiation therapy problems in which the fellow will work on AI-based organ segmentation, image registration, image synthesis, and imaging biomarker for treatment response prediction/assessment. Areas of major clinical application include pediatric brain image analysis, image segmentation and registration, and cross-modality image synthesis in close collaboration with 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.

Interested applicants should send their CV and names of three professional references to Dr. Junghoon Lee [junghoon(at)].

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.