POSTDOCTORAL FELLOW-Developing In Artificial Intelligence in Brachytherapy, Medical Physics Department, Memorial Sloan Kettering Cancer Center

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. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.

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An opening is now available for a postdoctoral researcher in the department of medical physics for individuals interested in combining artificial intelligence in brachytherapy. The two-year project will focus on the development of advanced deep learning and machine learning image processing methods to automatically segment targets on medical images. Opportunities to work on related problems involving natural language processing in patient charts and developing clinical-release software is also possible, time permitting. This is an excellent opportunity for a researcher with a PhD in biomedical engineering, medical physics and computer science who are interested in investigating state-of-the-art artificial intelligence to solve immediate clinical problems, and who want to gain firsthand research and development experience from cancer treatment frontline and to pursue career in technology and healthcare industry in future. The job will involve working with a multi-disciplinary team of computer scientists, medical physicists, and radiation oncologists. 

The ideal candidate should have:  

• Strong programming background (Python and Matlab) 
• Be familiar with deep learning libraries (e.g. Pytorch/Keras)  
• Knowledge and hands-on experience of machine learning is required. 

• Prior experience in medical imaging processing or computer vision is highly desirable. 
• Excellent written and communication skills are required 
• Successful completion of the project is expected to result in one or more high quality publications. 

If you have any questions about this job opportunity, please contact:  

Tonghe Wang, Ph.D. DABR 

Assistant attending physicist 

wangt8@mskcc.org 

** Please include curriculum vitae in your application submission.

Salary: $55,439 - $85,840

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