Postdoctoral Fellow / Research Scientist in MR-guided Radiotherapy (MRgRT) Department of Medical Physics
About The Position
About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe. The MRI Physics Group at MSK is seeking a Postdoctoral Research Fellow or Research Scientist in MR-guided Radiotherapy (MRgRT). The successful candidate will work under the direct supervision of Dr. Can Wu and will participate in MRI research activities within the group led by the Vice Chair of Research, Dr. Ricardo Otazo, in the Department of Medical Physics. The primary goal of this position is to develop novel motion imaging techniques, such as 4D MRI, for motion-adaptive radiation therapy of high-risk thoracic and abdominal tumors. Specifically, we aim to develop motion-resolved MRI data acquisition methods (e.g., 3D radial sampling) and deep learning-based image reconstruction techniques to enable rapid 4D MRI reconstruction for treatment planning of tumors affected by respiratory motion, including those in the lung, pancreas, and liver. The work will involve developing and implementing novel algorithms for MRI data acquisition, image reconstruction, and image processing, as well as translating these techniques into clinical practice. In addition, there will be opportunities to pursue research in quantitative MRI methods for assessing treatment response across a range of tumor sites, including head and neck, rectal, gynecologic, liver, and pancreatic cancers in the context of radiotherapy. The selected candidate will have the opportunity to work in a highly collaborative, multidisciplinary environment alongside clinical imaging and radiotherapy physicists, engineers, computer scientists, and clinicians within the Departments of Medical Physics and Radiation Oncology at one of the world’s leading institutions in clinical cancer care and research. This collaborative environment offers unique opportunities to contribute to translational research, engage in innovative, cutting-edge projects, and collaborate with a multidisciplinary community dedicated to advancing MRIguided radiotherapy and improving patient care and outcomes. The candidate will benefit from advanced imaging and computing resources, as well as opportunities to advance professionally and share research outcomes through conferences and publications. World-class facilities are available to support the research project, including but not limited to the following: • One Elekta Unity MR-Linac system (which includes a 1.5T Philips MRI scanner) and two 3T Philips scanners (Elition MR7700). • Five high performance computer (HPC) servers with multiple GPUs for image processing and reconstruction, and deep-learning tasks. • Active research collaborations with Philips and Elekta for MRI sequence development and image reconstruction.
Requirements
- PhD degree in physics, engineering, computer science, or related field
- Strong programming skills (e.g., Python, Matlab)
- Expertise in developing deep-learning models for imaging applications
- A strong track record of peer-reviewed publications
- Highly motivated with the ability to work both independently and collaboratively
- Excellent written and verbal communication skills in English
Nice To Haves
- Experience in MRI data acquisition and image reconstruction (preferred but not required)
Benefits
- Subsidized housing near the MSK campus is available for Postdoctoral Research Fellows.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
