Ph.D. Position| Industrial Engineering at the University of Oklahoma

Ph.D. Opportunity
We are seeking a highly motivated Ph.D. student in Industrial Engineering at the University of Oklahoma to join a funded research project beginning in Fall 2026 or Spring 2027. This position is at the intersection of optimization, machine learning, and healthcare analytics and provides an exciting opportunity to address real-world healthcare challenges by developing and applying advanced data-driven methods to support decision-making and improve patient outcomes.

Required Qualifications:
1. 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.
2. Strong background in optimization methods, such as nonlinear and discrete optimization.
3. Proficiency in Python, R, or other relevant programming environments.
4. Experience with machine learning is preferred but not required.
5. Strong interest in interdisciplinary research that bridges data science, optimization, and healthcare applications.
6. Strong communication skills and a collaborative mindset.

Interested applicants are encouraged to send their CV and a brief statement of interest to APHLabatOU@yahoo.com.