Postdoctoral Fellow - Imaging Physics
Learning Objectives
This postdoctoral fellow will engage in computational research projects in image guided cancer therapy, including research, design, and implementation of deformable image registration, biomechanical modeling, and artificial intelligence technologies. The fellow will expand their knowledge and skills in imaging physics, data mining, predictive modeling, clustering, and classification and will develop, train, and apply deep learning in large data environments. The fellow will help to guide research and clinical collaborations and work with collaborators to integrate image guided cancer therapy models and technologies into the clinical workflow. They will collaborate and coordinate with research and clinical stakeholders and communicate findings via abstracts, poster and podium presentations, and publications.
Eligibility Requirements
- Applicants should have earned a PhD in one of the natural sciences, computer sciences, engineering, or related fields or a medical degree.
- Experience with machine learning and deep learning techniques, statistical modeling, biomechanical modeling, or image registration and analysis is preferred.
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.
Faculty Mentor
Dr. Kristy Brock