Postdoctoral Fellow - Radiation Physics

A Postdoctoral Fellowship position focusing on adaptive radiation therapy is open in Dr. Ergys Subashi's lab, Department of Radiation Physics, Division of Radiation Oncology. The research project will implement advanced image reconstruction methods and evaluate feasibility for offline and online adaptive treatment planning and radiotherapy delivery. This work will be developed in the context of a larger initiative aimed at exploring the use of quantitative and functional imaging to improve radiation therapy care and outcomes. The Division of Radiation Oncology houses multiple state-of-the-art MRI scanners, linear accelerators, and a hybrid MR-Linac. Our team is looking for a highly motivated member interested in joining a collaborative group of scientists and physicians.

The Postdoctoral Fellow will be responsible for implementing advanced image reconstruction methods, characterizing image quality from accelerated MRI acquisitions, developing strategies for offline and online treatment planning for adaptive radiation therapy, building automated image analysis tools, and evaluating procedures for quality assurance of adaptive planning and radiotherapy delivery. The Fellowship encourages collaboration with a broad range of investigators in an interdisciplinary research project that involves the use of automation in some of the most time-consuming tasks in radiotherapy care, including contouring, inverse planning, image registration, and quality assurance. As part of the team, the fellow is expected to present relevant scientific findings at project meetings, national and international conferences, and via publication in top-tier peer-reviewed scientific journals.

LEARNING OBJECTIVES

The potential candidate is expected to learn various acquisition and reconstruction methods (conventional and AI-based) for quantitative and functional imaging, strategies for offline and online treatment planning for adaptive radiation therapy, build automated image analysis tools, implement and evaluate strategies for quality assurance of planning and radiotherapy delivery.

All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

ELIGIBILITY REQUIREMENTS

Ph.D. degree in Medical Physics, Physics, Computer Science, Mathematics, or Biomedical/Electrical Engineering. Research experience and an excellent knowledge-base in various programming languages (C/C++, Python, MATLAB) as applied to image reconstruction for metabolic and functional imaging with MRI.

POSITION INFORMATION

MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.

Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html