Postdoctoral fellow: Deep learning in prostate cancer radiation therapy

Monday 22nd June 2020

Closing date: July 30 2020

POSTDOCTORAL RESEARCHER- DEEP LEARNING AUTOMATED DOMINANT INTRA PROSTATIC LESIONS FOR IMAGE GUIDED RADIOTHERAPY
Memorial Sloan Kettering Cancer Center

One to two openings are now available for a research appointment in the Department of Medical Physics at the postdoctoral level for individuals interested in medical image analysis research. The two-year research projects will focus on the development of advance deep learning-based analysis of multi-parametric MRI images for automated detection and volumetric segmentation of dominant prostatic lesions for aiding in real-time MR guided radiation therapy on the new MRI guided linear accelerator (MR-LINAC) systems. The project entails development of deep learning algorithms for detecting and classifying domain index lesion, volumetric segmentation, and tracking of whole prostate gland and the dominant lesion for real time guidance. This project led by computer scientist, Dr. Harini Veeraraghavan and MRI medical physicist, Dr. Neelam Tyagi, will also involve working with radiation oncologists and radiologists. This will be a wonderful opportunity for a computational scientist trying to further develop advanced deep learning methods as well as learn how these techniques can be translated and are applied into clinical patient care. 

Successful execution on the project is expected to result in high impact technical and clinical publications, as well as implementation of the software prototype in to the clinical treatment planning workflow in coordination with our team of developers and physicists. Ideal candidates must have strong programming background (python) with knowledge of machine learning applied to computer vision or medical image analysis. Deep learning knowledge and some image registration/segmentation development experience is highly desirable. Candidates are expected to have excellent written and oral communication skills for writing manuscripts and presenting to multi-disciplinary audiences. 

The Department of Medical Physics consists of over forty faculty physicists plus support staff working on various physical problems related to the diagnosis and treatment of cancer. 

Memorial Sloan Kettering Cancer Center is located on the Upper East Side of Manhattan, and is recognized as a world leader in clinical cancer care and research. 
Interested candidates should send a resume and list of three references by July 30, 2020 via e-mail to: 
Harini Veeraraghavan, Ph.D. 
Assistant attending computer scientist
Department of Medical Physics
Memorial Sloan Kettering Cancer Center
1275 York Ave. 
New York, NY 10065
e-mail: veerarah at mskcc.org

Organization Memorial Sloan Kettering Cancer Center
Location New York
Title Postdoctoral fellow: Deep learning in prostate cancer radiation therapy
Email Address veerarah@mskcc.org