Publisher
source

The University of Texas MD Anderson Cancer Center

Postdoctoral Fellow in Interventional Radiology Research, Artificial Intelligence and Reinforcement Learning The University of Texas MD Anderson Cancer Center in United States

Degree Level

Postdoc

Field of study

Oncology

Funding

Full-time postdoctoral position with a salary ranging from $64,000 to $76,000 depending on years of postgraduate experience. Benefits include medical and dental coverage, paid time off, retirement, tuition benefits, and educational opportunities.

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Country

United States

University

The University of Texas MD Anderson Cancer Center

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Keywords

Oncology
Computer Science
Biomedical Engineering
Medical Imaging
Artificial Intelligence
Clinical Decision Making
Medical Science
Reinforcement Learning
Adaptive Optics
Statistics
ML

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About this position

Postdoctoral Fellow position in Interventional Radiology Research at The University of Texas MD Anderson Cancer Center in Houston, Texas, USA.

The project sits at the intersection of artificial intelligence, reinforcement learning, medical decision making, medical imaging, image analysis, and oncology. The laboratory of Iwan Paolucci, PhD focuses on machine learning and reinforcement learning for sequential medical decision making, with applications to adaptive imaging, treatment optimization, stereotactic and robotic image-guidance, and outcome prediction for hepatobiliary malignancies.

The fellow will work on designing and validating reinforcement learning algorithms, formulating clinical problems as Markov decision processes, and applying machine learning methods to medical imaging data. The role also includes collaboration with clinical and research partners, and dissemination through reports, abstracts, presentations, manuscripts, and grant proposals.

Eligibility: Applicants should hold a PhD in natural sciences, computer science, data science, applied mathematics, engineering, or a related field. Preferred experience includes machine learning, reinforcement learning, Markov decision processes, deep learning, medical image analysis, or computational modeling.

Funding: Full-time postdoc with salary of $64,000–$76,000 depending on postgraduate experience, plus benefits including medical, dental, paid time off, retirement, tuition benefits, and educational opportunities.

Location: Houston, Texas, United States. Apply via the MD Anderson careers portal.

Funding details

Full-time postdoctoral position with a salary ranging from $64,000 to $76,000 depending on years of postgraduate experience. Benefits include medical and dental coverage, paid time off, retirement, tuition benefits, and educational opportunities.

What's required

Applicants should hold a Ph.D. in one of the natural sciences, computer sciences, data science, applied mathematics, engineering, or a related field. Preferred experience includes machine learning, reinforcement learning, Markov decision processes, deep learning techniques, medical image analysis, or computational modeling.

How to apply

Apply through the job posting on the MD Anderson careers site using the APPLY button. Review the posting details and submit the application online.

More information can be found here

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