Postdoc: AI for Personalized Cervical Brachytherapy Planning

UT MD Anderson; Houston (TX); On-site; USD 64,000 - 76,000; Full time

Job summary

The University of Texas MD Anderson Cancer Center in Houston seeks a highly motivated postdoctoral fellow to develop AI methods for personalized cervical cancer brachytherapy. The role centers on the BrachyGo framework and BPA platform to learn planning strategies and generate patient-specific treatment plans.

You will collaborate with medical physicists, radiation oncologists, and AI researchers to explore reinforcement learning, multimodal deep learning, and recurrence-risk mapping, with

Qualifications

• Ph.D. in a related field within the past three years.
• Experience in ML/DL/RL or medical image analysis is highly preferred.
• Familiarity with medical imaging and DICOM is advantageous but not required.

Responsibilities

• Develop AI methods for brachytherapy planning and recurrence-risk mapping.
• Collaborate with medical physicists, radiation oncologists, and AI researchers.
• Contribute to clinical shadowing, meetings, conferences, and publications.
• Evaluate and validate models under real-world clinical constraints.

Skills

Machine learning

Deep learning

Reinforcement learning

Medical image analysis

Education

Ph.D. or equivalent in medical physics, physics, biomedical engineering, computer science, electrical engineering or related quantitative field

Tools

Python

DICOM

TensorFlow

Job description

The University of Texas MD Anderson Cancer Center in Houston seeks a highly motivated postdoctoral fellow to develop AI methods for personalized cervical cancer brachytherapy. The role centers on the BrachyGo framework and BPA platform to learn planning strategies and generate patient-specific treatment plans.

You will collaborate with medical physicists, radiation oncologists, and AI researchers to explore reinforcement learning, multimodal deep learning, and recurrence-risk mapping, with