PhD Opportunity in Industrial Engineering, Optimization, Machine Learning, and Healthcare Analytics at the University of Oklahoma University of Oklahoma in United States

Ph.D. opportunity in Industrial Engineering at the University of Oklahoma with a funded research project starting in Fall 2026 or Spring 2027.

The project sits at the intersection of optimization, machine learning, and healthcare analytics, with the goal of developing data-driven methods that support decision-making and improve patient outcomes. This is a strong fit for applicants interested in operations research, data science, and applied research in healthcare settings.

Eligibility highlights: a recent or soon-to-be-completed M.S. degree (preferably within the last 0–2 years) in Operations Research, Industrial Engineering, Mathematics, or a closely related field; strong background in nonlinear and discrete optimization; proficiency in Python, R, or similar programming environments; machine learning experience preferred but not required; strong communication and teamwork skills.

Funding: the position is described as funded. No stipend amount, tuition details, or application deadline were provided.

How to apply: interested applicants should email their CV and a brief statement of interest to [email protected].