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Hyeong Suk Na

Just Landed

2 days ago

Fully Funded PhD Positions in Large-Scale Stochastic Optimization using AI/ML and Computer Vision/Image Processing University of Missouri in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

University of Missouri

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Keywords

Computer Science
Electrical Engineering
Deep Learning
Mathematics
Operations Research
Artificial Intelligence
Image Processing
Industrial Engineering
Spatial Analysis
Computer Vision
Stochastic Programming
Statistics
Machine learning
system and industrial engineering

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About this position

Two fully funded PhD Graduate Research Assistant positions are available in the Smart, Sustainable, and Resilient Systems (SSRS) Laboratory in the Department of Industrial and Systems Engineering at the University of Missouri (Mizzou).

The openings are with Assistant Professor Hyeong Suk Na and begin as early as Spring 2027. The research areas are: (1) Large-Scale Stochastic Optimization using AI/ML and (2) Computer Vision/Image Processing. These topics connect strongly with Industrial Engineering, Operations Research, Computer Science, Statistics, Mathematics, and related quantitative fields.

Funding includes full tuition support, a stipend, and benefits through graduate research/teaching assistantships. The appointments are expected to last 12 months, with renewal possible based on satisfactory academic and research performance.

Preferred applicants should have an M.S. degree completed or expected before enrollment in Industrial and Systems Engineering, Operations Research, Computer Science or Engineering, Transportation Engineering, Statistics, Mathematics, or a closely related field. Strong quantitative, analytical, and programming skills are important, along with prior research experience such as an M.S. thesis, publication, research project, or similar scholarly work. Strong written and oral communication skills and the ability to work independently and collaboratively are also expected.

For Position 1, experience or strong interest in mathematical optimization, stochastic modeling, simulation, and related computational methods is desirable, with tools such as Python, Gurobi, CPLEX, GAMS, AMPL, MATLAB, R, or AnyLogic. For Position 2, experience or strong interest in computer vision, image processing, deep learning, or geospatial analytics is desirable, with tools such as Python, PyTorch, TensorFlow, OpenCV, and GIS software.

Interested students should submit materials through the preliminary review survey linked in the post. This is an initial screening step only and is not the official University of Missouri Graduate School application. Review begins immediately and continues until both positions are filled.

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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