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Yi Hu

6 months ago

PhD Student Opening in Power Systems and AI/ML at Michigan Technological University Michigan Technological University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The post does not specify a stipend amount or tuition details. The group page notes that outstanding applicants will be supported as GTA or GRA.

Deadline

Dec 28, 2026

Country flag

Country

United States

University

Michigan Technological University

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Grid Integration
Artificial Intelligence
Optimisation
Power System

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About this position

Michigan Technological University is advertising a PhD student opening for Fall 2026 in the Department of Electrical and Computer Engineering.

The position is with Yi Hu, Assistant Professor, whose research interests include power systems, AI/ML, and computing. The advertised research directions include AI for power system data analytics, large-load modeling, AI data center grid integration, and related topics at the intersection of energy systems and intelligent computing.

Ideal applicants should have strong motivation for research and good communication skills, and hold a Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field. A background or strong interest in machine learning, power systems, optimization, or data analytics is preferred. The group page also mentions programming experience in Python, C++, MATLAB, or similar tools. Candidates currently in the U.S. are especially encouraged to apply.

Applicants should email [email protected] with a CV/resume and unofficial transcripts. Use the subject line: Prospective Ph.D. Student - [Your Full Name] - [Starting Semester].

The post does not list a formal deadline, but it states that the opening is for Fall 2026, with Spring 2027 admission also possible.

Funding details

The post does not specify a stipend amount or tuition details. The group page notes that outstanding applicants will be supported as GTA or GRA.

What's required

Applicants should have strong motivation for research and good communication skills. A Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field is preferred. Background or strong interest in machine learning, power systems, optimization, or data analytics is expected. Programming experience in Python, C++, MATLAB, or similar tools is mentioned on the group page. Candidates currently in the U.S. are especially encouraged to apply.

How to apply

Email [email protected] with a CV/resume and unofficial transcripts. Use the subject line: Prospective Ph.D. Student - [Your Full Name] - [Starting Semester].

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Power System

Grid Integration

Machine Learning

Optimisation