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University of Michigan-Dearborn

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PhD Position in AI, Machine Learning, and Optimization for 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
Smart Grid Technology
Artificial Intelligence
Energy Engineering
Stability Analysis
Electric Vehicle
Resiliency
Microgrid Technology
Optimisation
Power System
Distributed Energy
Machine learning

About this position

PhD position available at University of Michigan-Dearborn in the Intelligent Energy Systems Lab for a student interested in Artificial Intelligence, Machine Learning, and Optimization for Power Systems.

Research areas include AI/ML for power systems, renewable energy integration and grid modernization, EVs, V2G/V2V technologies, microgrids, distributed energy resources, and power system reliability, stability, and resilience. This opportunity is especially relevant for students with backgrounds or interests in electrical engineering, computer science, smart grids, and energy systems.

Eligibility mentioned in the post: Bachelor’s or Master’s degree. The post asks motivated candidates to apply by email and share their CV and supporting documents.

Funding details are not specified in the post. The post indicates a PhD opening with an application window ending end of July 2026, and the image suggests a Winter or Fall 2027 start.

To apply, email your CV and supporting documents to [email protected].

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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