Hamid Khayyam
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PhD Opportunity in Vehicle-to-Home and Vehicle-to-Grid Intelligent Energy Management RMIT University in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding available
Country
Australia
University
RMIT University
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About this position
RMIT University is seeking a highly motivated PhD candidate to work on Vehicle-to-Home (V2H) and Vehicle-to-Grid (V2G) intelligent energy management projects.
The project sits at the intersection of Electrical Engineering, Mechanical Engineering, Artificial Intelligence, and Machine Learning, with a focus on smart energy systems and optimization for connected vehicles and grid interaction.
Supervisor/announcer: Associate Professor Hamid Khayyam at RMIT University (Australia).
Eligibility highlights: applicants should have a background in Electrical Engineering, Mechanical Engineering, or a related field, and should have experience or a strong interest in AI and ML.
How to apply: interested candidates should email their CV/resume to [email protected].
No deadline was stated in the post.
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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