Postdoctoral Fellow - Radiation Physics - Research

About the role

A postdoctoral fellowship position is available in Dr. Jingwei Duan's laboratory within the Department of Radiation Physics, Division of Radiation Oncology, focusing on Medical Physics, Imaging Analysis, and Artificial Intelligence. We are seeking a highly motivated individual to join a collaborative team of scientists and physicians.

Responsibilities

• Present findings at project meetings and national/international conferences and publish in top-tier peer-reviewed journals.
• Design and translate AI-driven methods for medical image registration, synthetic imaging, segmentation, and treatment planning to advance radiotherapy.
• Investigate breakthrough AI technologies (e.g., LLMs, generative AI) to evaluate their potential in reducing clinician burden and improving patient safety across radiation-oncology workflows.
• Develop automated QA/QC methodologies for the safe implementation and monitoring of AI systems in radiation therapy.
• Create decision-support systems for online adaptive radiotherapy (oART) on MR-linacs and CT/CBCT-linacs.
• Contribute to other high-impact clinical projects, such as Spatially Fractionated Radiotherapy (SFRT), Stereotactic Body Radiation Therapy (SBRT), Intraoperative Radiation Therapy (IORT), and Brachytherapy.

Qualifications

• Hold a recent Ph.D. in physics, electrical engineering, biomedical engineering, computer science, applied mathematics, or a related discipline.
• Strong programming skills, especially in MATLAB, Python, and C/C++.
• Experience with image processing is preferred.
• Familiarity with machine/deep learning and high-performance computing is a plus.
• No prior experience in medical physics is required.
• Excellent written and verbal communication skills.

Learning Objectives

• Gain experience with state-of-the-art AI methods and practical AI safety frameworks specific to radiation oncology.
• Develop QA/QC tools for AI systems.
• Develop decision-support strategies for offline/online adaptive treatment.
• Gain hands-on exposure to radiation physics and radiotherapy workflows, including simulation, contouring, treatment planning, QA, and treatment delivery.

Benefits

• The University of Texas MD Anderson Cancer Center is one of the world's premier comprehensive cancer centers, internationally recognized for research and training, and nationally acclaimed for the quality of cancer care delivered across its hospitals and clinics in the Texas Medical Center.
• The Division of Radiation Oncology and Department of Radiation Physics maintain a broad suite of advanced radiotherapy and imaging platforms, including multiple scanners (CT, MR, PET-CT, and SPECT), simulators, and an extensive fleet of linear accelerators with resources for adaptive radiation therapy (hybrid MR-linac, Ethos CBCT-guided adaptive platforms, and CT-on-rails Linac).
• The candidate is eligible to enroll in our CAMPEP-accredited didactic medical physics certificate program, covering essential medical physics courses for entering the medical physics residency.

Pay

N/A

Schedule

N/A

Contact Information

Please submit curriculum vitae to Dr. Jingwei Duan at jduan@mdanderson.org.

Additional Information

For more information on our program, or medical physics as a field and profession, please refer to:

• MD Anderson Radiation Physics
• UT Health Science Center San Antonio Medical Physics
• American Association of Physicists in Medicine
• Commission on Accreditation of Medical Physics Education Programs

Position Information

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.

Equal Employment Opportunity

The University of Texas MD Anderson Cancer Center is committed to providing 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.