Publisher
source

Dongmin Li

1 week ago

Fully Funded PhD Studentships in Industrial & Systems Engineering, Statistical Optimization, and Machine Learning Mississippi State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The Ph.D. positions are fully funded.

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Country

United States

University

Mississippi State University

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Keywords

Computer Science
Manufacturing Engineering
Industrial Engineering
Optimisation
Statistics
Autonomous System
ML

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About this position

Dongmin Li, Assistant Professor in the Department of Industrial & Systems Engineering at Mississippi State University, is looking for Ph.D. students to join his research group starting in Fall 2027.

The group’s research interests include statistical methods, optimization, and machine learning for data analysis and decision-making in complex systems. Specific topics mentioned are spatiotemporal modeling, online monitoring, physics-informed machine learning, and decision-making under uncertainty, with applications in manufacturing, environmental monitoring, and autonomous systems.

Applicants with backgrounds in industrial engineering, statistics, computer science, or related fields are encouraged to apply. The positions are stated to be fully funded.

To apply, interested candidates should email their CV, unofficial transcripts, and a brief description of their research interests to [email protected]. The post also points readers to the professor’s website for more details.

This is a research-focused PhD opportunity in the United States at Mississippi State University, suitable for students interested in statistical learning, optimization, and data-driven decision-making in complex systems.

Funding details

The Ph.D. positions are fully funded.

What's required

Applicants with backgrounds in industrial engineering, statistics, computer science, or related fields are welcome to apply. The post does not specify GPA, test scores, or prior degree requirements beyond Ph.D. student eligibility.

How to apply

Send your CV, unofficial transcripts, and a brief description of your research interests to [email protected]. Review the professor’s website for more details.

More information can be found here

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