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Postdoctoral Fellow - AI segmentation tools for PET/CT and MR images for radiotherapy

Employer
University of Texas MD Anderson Cancer Center
Location
MDA-On-Site
Salary
Competitive
Closing date
Apr 15, 2024

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Discipline
Health Sciences
Organization Type
Healthcare/Hospital

Job Details

A fellow postdoctoral position is available in the Department of Radiation Physics at the University of Texas MD Anderson Cancer Center under the direct supervision of Dr. Jinzhong Yang. The primary research project is the development and validation of AI segmentation tools for PET/CT and MR images for radiotherapy. The Tumor Measurement Initiative (TMI) STRIDE aims to build an institutional platform to support standardized, automated, quantitative imaging-based tumor measurement across each patient's journey to advance multidisciplinary, data-driven, high-precision cancer treatment. Specifically, to process and analyze imaging data, including image quality, measurement tools, and newly developed automated segmentation tools (for tool evaluation and validation)

LEARNING OBJECTIVES
The potential candidate is expected to learn: 1) PET/CT image acquisition principles and applications; 2) PET/CT and MR images applied in radiotherapy; 3) deep learning image segmentation model training and validation.

ELIGIBILITY REQUIREMENTS
Candidates from diverse backgrounds are encouraged to apply. The successful applicant must hold a Ph.D. in the fields of Computer Science, Physics, Applied Mathematics, Electrical Engineering, Bioinformatics, or related fields.

FACULTY MENTOR
Dr. Jinshong Yang

Company

The University of Texas MD Anderson Cancer Center in Houston is one of the world's most respected centers focused on cancer patient care, research, education and prevention. It was named the nation's No. 1 hospital for cancer care in U.S. News & World Report's 2023 rankings. It is one of the nation's original three comprehensive cancer centers designated by the National Cancer Institute.

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