PhD Position in Industrial Engineering at the University of Oklahoma

Seeking a motivated PhD student in Industrial Engineering at the University of Oklahoma for a funded research project at the intersection of optimization, machine learning, and healthcare analytics. This position offers a unique opportunity to work on real-world healthcare problems, applying cutting-edge data-driven techniques to improve decision-making and patient outcomes.

Required Qualifications:
1. Recent or soon-to-be-completed MS degree (within the last 0–2 years) in Mathematics or Industrial Engineering.
2. Strong background in optimization methods (e.g., nonlinear and discrete optimization).
3. Proficiency in Python, R, or other relevant programming environments.
4. Experience with machine learning (preferred but not required).
5. Passion for interdisciplinary research bridging data science, optimization, and healthcare applications.
6. Strong communication skills and a collaborative mindset.

If you are enthusiastic about leveraging optimization and machine learning to address pressing challenges in healthcare, please contact me!

How to Apply:
Send your CV and a brief statement of interest to: talayeh.razzaghi@ou.edu