Postdoctoral Fellow, AI & RL for Medical Imaging

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 invites applications for a postdoctoral fellowship in the Department of Interventional Radiology, in the laboratory of Iwan Paolucci, PhD, focusing on machine learning and reinforcement learning for sequential medical decision making.

The fellow will apply ML, RL, and Markov decision processes to adaptive imaging and treatment optimization, collaborate with clinicians and researchers, present findings, and contribute to manuscripts and

Qualifications

• PhD in natural sciences, computer sciences, data science, applied mathematics, engineering, or related field.
• Experience with ML/RL, deep learning, medical image analysis, or computational modeling preferred.

Responsibilities

• Design, implement, and validate RL algorithms for sequential decision-making in adaptive imaging and treatment planning.
• Collaborate with clinical and research partners and communicate findings via reports, abstracts, presentations, and publications.
• Present research at seminars and conferences; contribute to grant proposals and manuscripts.

Skills

Reinforcement learning

Machine learning

Medical image analysis

Bayesian modelling

Education

PhD in a related field

Job description

The University of Texas MD Anderson Cancer Center in Houston invites applications for a postdoctoral fellowship in the Department of Interventional Radiology, in the laboratory of Iwan Paolucci, PhD, focusing on machine learning and reinforcement learning for sequential medical decision making.

The fellow will apply ML, RL, and Markov decision processes to adaptive imaging and treatment optimization, collaborate with clinicians and researchers, present findings, and contribute to manuscripts and