Online Image Segmentation Jobs (NOW HIRING)

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.
Our program integrates quantitative imaging, automation, and rigorous safety science to enhance care quality and outcomes. Our laboratory is engaged in several exciting projects, including:
•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, which covers the essential medical physics courses for individuals to enter the medical physics residency to become a professional medical physicist in the US.
LEARNING OBJECTIVES
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.
ELIGIBILITY REQUIREMENTS
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.
ADDITIONAL APPLICATION INFORMATION
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 2025-2026 "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@mdanderson.org.
For more information on our program, or medical physics as a field and profession, please refer to:
https://www.mdanderson.org/research/departments-labs-institutes/departments-divisions/radiation-physics.html
https://gsbs.uth.edu/medphys/
https://www.aapm.org
https://www.campep.org/
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.
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