Ut Md Anderson

Job Summary:
The University of Texas MD Anderson Cancer Center is one of the world's premier comprehensive cancer centers, internationally recognized for research and training. The postdoctoral fellow will work in a collaborative team focusing on Medical Physics, Imaging Analysis, and Artificial Intelligence, contributing to projects that advance radiotherapy through AI-driven methods and automated QA/QC methodologies.
Responsibilities:
• 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.
• 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:
Required:
• 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.
• The candidate should demonstrate excellent written and verbal communication skills.
Preferred:
• 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.
Company:
The University of Texas MD Anderson Cancer Center is one of the world’s most respected centers devoted exclusively to cancer patient care, research, education and prevention. Founded in 1994, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.