Maher Azzouz
1 month ago
Funded PhD Position in Power Systems, Renewable Energy, and Machine Learning at University of Windsor University of Windsor in Canada
Degree Level
PhD
Field of study
Electrical Engineering
Funding
The position is funded, but specific details about the funding type, stipend amount, or tuition coverage are not provided.
Deadline
Expired
Country
Canada
University
University of Windsor

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About this position
The University of Windsor, Canada, is inviting applications for a funded PhD position in the Department of Electrical and Computer Engineering, supervised by Associate Professor Maher Azzouz. The research group focuses on advanced topics in power system control and protection, renewable energy modeling and integration, power system optimization and planning, and the application of machine learning and cyber security in power systems. This opportunity is ideal for candidates interested in cutting-edge research at the intersection of electrical engineering, renewable energy, and artificial intelligence.
Applicants should hold a Master’s degree in Electrical Engineering or a closely related field, demonstrate a strong academic background, and have proven expertise in the listed research areas. A solid publication record in peer-reviewed journals and conferences is required, along with proficiency in programming, analytical tools, and simulation software relevant to power systems and machine learning. Strong communication and teamwork skills are also essential.
The University of Windsor is committed to equity, diversity, and inclusion, encouraging applications from candidates of all backgrounds, especially those from underrepresented groups in engineering. The position is funded, though specific details regarding the funding package are not provided in the announcement.
To apply, candidates should fill out the online application form by February 15, 2026. Applications will be reviewed on a rolling basis until the position is filled. Shortlisted candidates will be invited to submit a full application, including a cover letter outlining research interests and career goals, a CV with a list of publications and references, and transcripts for all degrees obtained.
For more information, visit the supervisor’s LinkedIn profile or the application link provided.
Funding details
The position is funded, but specific details about the funding type, stipend amount, or tuition coverage are not provided.
What's required
Applicants must have a Master’s degree in Electrical Engineering or a closely related field, a strong academic background, proven expertise in power systems, renewable energy, optimization, machine learning, and cyber security applications, a solid publication record in peer-reviewed journals and conferences, proficiency in programming, analytical tools, and simulation software relevant to power systems and machine learning, and strong communication and teamwork skills.
How to apply
Fill out the provided application form by February 15, 2026. Applications are reviewed on a rolling basis until the position is filled. Only shortlisted candidates will be invited to submit a full application, including a cover letter, CV, and transcripts.
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