Postdoctoral Fellow - Radiation Physics - Research

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. As part of the team, the fellow will present findings at project meetings and national/international conferences and publish in top‑tier peer‑reviewed journals.

• Designing and translating AI‑driven methods for medical image registration, synthetic imaging, segmentation, and treatment planning to advance radiotherapy.
• Investigating breakthrough AI technologies (e.g., LLMs, generative AI) to evaluate their potential in reducing clinician burden and improving patient safety across radiation‑oncology workflows.
• Developing automated QA/QC methodologies for the safe implementation and monitoring of AI systems in radiation therapy.
• Creating decision‑support systems for online adaptive radiotherapy (oART) on MR‑linacs and CT/CBCT‑linacs.

Additionally, the candidate will have opportunities to contribute to other high‑impact clinical projects, such as Spatially Fractionated Radiotherapy (SFRT), Stereotactic Body Radiation Therapy (SBRT), Intraoperative Radiation Therapy (IORT), and Brachytherapy. Successful candidates are also eligible to enroll in our CAMPEP‑accredited didactic medical physics certificate program.

The successful candidate will gain experience with state‑of‑the‑art AI methods and practical AI safety frameworks specific to radiation oncology, QA/QC tool development for AI systems, and decision‑support strategies for offline/online adaptive treatment. The fellow will also gain hands‑on exposure to radiation physics and radiotherapy workflows, spanning simulation, contouring, treatment planning, QA, and treatment delivery.

Candidates must hold a recent Ph.D. in physics, electrical engineering, biomedical engineering, computer science, applied mathematics, or a related discipline. Strong programming skills are essential. Prior experience with programming (MATLAB, Python, C/C++) and image processing is preferred. Familiarity with machine/deep learning and high‑performance computing is a plus but not required. A background in medical physics is NOT required. The candidate should demonstrate excellent written and verbal communication skills.

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. MD Anderson is ranked #1 in the nation for cancer care in U.S. News & World Report’s  'Best Hospitals,' and has been among the top two since the survey began in 1990.

The Division of Radiation Oncology and Department of Radiation Physics maintain a broad suite of advanced radiotherapy and imaging platforms that enable cutting‑edge clinical innovation and data‑driven research, 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). These capabilities provide an exceptional environment for data collection, analysis, and translational innovation in image‑guided and adaptive radiotherapy.

Please submit curriculum vitae to Dr. Jingwei Duan at jduan.

For more information on our program, or medical physics as a field and profession, see: https://(Use the "Apply for this Job" box below).  https:// https://.

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. MD Anderson also offers benefits, including medical, dental, paid time off, retirement, tuition…