Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Talayeh Razzaghi
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Posted Yesterday
PhD Opportunity in Industrial Engineering, Optimization, Machine Learning, and Healthcare Analytics at the University of Oklahoma University of Oklahoma in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
University of Oklahoma

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About this position
Ph.D. opportunity in Industrial Engineering at the University of Oklahoma with research at the intersection of optimization, machine learning, and healthcare analytics.
The project focuses on developing and applying advanced data-driven methods to support decision-making and improve patient outcomes. This is a strong fit for students interested in operations research, nonlinear and discrete optimization, programming, and interdisciplinary healthcare applications.
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 optimization background; proficiency in Python, R, or similar environments; machine learning experience preferred but not required; strong communication and collaboration skills.
Funding: the position is attached to a funded research project. The post does not specify stipend, tuition coverage, or other financial details.
How to apply: interested applicants should email their CV and a brief statement of interest to [email protected].
Start timing: the opening is for Fall 2026 or Spring 2027.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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