Maryam EghbaliZarch
Tuition Waiver
1 week ago
Fully Funded PhD Opportunity in Health Systems Optimization, Industrial Engineering, and Healthcare Analytics Kennesaw State University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableCountry
United States
University
Kennesaw State University

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About this position
Fully funded PhD opportunity at Kennesaw State University in the Health Systems Optimization (HSOpt) Lab, starting Fall 2026.
The position is focused on health systems optimization, healthcare delivery, modeling and analytics, and related work in industrial engineering, operations research, data-driven optimization, Markov modeling, and simulation. The lab is seeking a highly motivated PhD student to contribute to research on improving healthcare systems using quantitative and computational methods.
Eligibility highlights: applicants should have an MS in Industrial Engineering, operations research, or a related field. Required skills include familiarity with Python, R, or Julia, optimization software, strong academic preparation, and strong writing, critical thinking, and analytical skills. Preferred experience includes data science, reinforcement learning, large language models, and publications in peer-reviewed journals or conference proceedings.
Funding: the post states that the selected student will receive competitive financial support and a tuition waiver.
How to apply: submit a CV, transcripts, and a research statement using the provided application form. Applications are reviewed on a rolling basis until the position is filled.
Supervisor/announcer: Maryam EghbaliZarch, Assistant Professor at Kennesaw State University.
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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