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Van-Hai Bui

3 days ago

PhD Position in AI, Machine Learning, Optimization, and Power Systems at University of Michigan-Dearborn University of Michigan-Dearborn in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United States

University

University of Michigan-Dearborn

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Artificial Intelligence
Electric Vehicle
Resiliency
Microgrid Technology
Optimisation
Power System
Distributed Energy
Machine learning

About this position

PhD position available at the University of Michigan-Dearborn in the Intelligent Energy Systems Lab with Assistant Professor Van-Hai Bui.

The position is for a motivated PhD student to begin in Winter 2027 (January 2027), with the post also referencing a Fall 2027 timing in the headline. The research is centered on Electrical Engineering and Computer Science topics, especially artificial intelligence, machine learning, optimization, and modern power and energy systems.

Research areas include AI/ML for power systems, renewable energy integration, grid modernization, electric vehicles, vehicle-to-grid (V2G) and vehicle-to-vehicle (V2V) technologies, microgrids, distributed energy resources, and power system reliability, stability, and resilience analysis. The group’s work sits at the intersection of cyber-physical energy infrastructure, optimization, and data-driven energy management.

The post says students will have opportunities to work on cutting-edge projects supported by federal agencies and industry partners. Applicants with either a Master’s degree or a Bachelor’s degree seeking direct PhD admission are encouraged to apply.

Application window: interviews are expected during June–July 2026, and the application deadline is end of July 2026 (normalized here as 2026-07-31).

How to apply: send your CV and relevant supporting materials to [email protected]. For more information, contact the professor directly.

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.

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