Postdoctoral Fellow - Radiation Physics - Research

About the role

A Postdoctoral Fellow position is immediately available in the Department of Radiation Physics in Dr. Jinzhong Yang's lab at the University of Texas MD Anderson Cancer Center, Houston, Texas, USA. The position is responsible for developing AI-based deformable registration algorithms for dose accumulation in MR-guided online adaptive radiotherapy and implementing the developed tools in clinical use. This project includes image data curation, algorithm development, and data analysis using computational tools. The fellow will collaborate closely with medical physicists and radiation oncologists to understand the clinical routine of MR-Linac treatment and develop tools to assist clinical decision‑making for online adaptive treatment. The postdoctoral fellow is expected to present relevant scientific findings at project meetings, national and international conferences, and via publications in top‑tier scientific journals. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

Responsibilities

• Develop AI‑based deformable registration algorithms for dose accumulation in MR‑guided online adaptive radiotherapy.
• Implement the developed tools for clinical use.
• Perform image data curation, algorithm development, and data analysis using computational tools.
• Collaborate with medical physicists and radiation oncologists to understand MR‑Linac treatment routines and develop tools to assist clinical decision‑making for online adaptive treatment.
• Present scientific findings at project meetings, national and international conferences, and in top‑tier journal publications.
• Maintain the security and integrity of critical infrastructure (routine reviews and screening) as required by Section 113.001(2) of the Texas Business and Commerce Code.
• Adhere to institutional policies, ethical research standards, and applicable federal and state regulations.
• Offsite work arrangements are subject to approval and may be modified or revoked based on business needs, performance considerations, or regulatory requirements.

Requirements

• Ph.D. in Computer Science, Physics, Applied Mathematics, Electrical Engineering, Bioinformatics, or a related field.
• Candidates from diverse backgrounds are encouraged to apply.

Skills

• Demonstrated experience in medical image analysis, data science, deep learning, and machine learning.
• Proficiency in Python programming.
• Knowledge of MR‑guided online adaptive radiotherapy and dose accumulation.
• Experience training and validating deep learning deformable registration models.
• Experience training and validating deep learning image segmentation models.

Benefits

• Medical coverage
• Dental coverage
• Paid time off
• Retirement plans
• Tuition benefits
• Educational opportunities
• Individual and team recognition

Pay

Salary ranging from $64,000 to $76,000, depending on years of postgraduate experience.