Ryan Ahmed
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Fully Funded Master’s and PhD Positions in AI, Mechatronics, Energy Storage, Electric Powertrains, and Autonomous Systems McMaster University in Canada
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
Fully funded Master's and PhD positions are available. The post does not specify the stipend amount or details of tuition coverage.
Deadline
Dec 28, 2026
Country
Canada
University
McMaster University
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Keywords
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About this position
McMaster University is recruiting fully funded Master’s and PhD students for positions beginning in Fall 2027. Successful candidates will join Professor Ryan Ahmed’s research group at the McMaster Automotive Resource Centre (MARC) in Hamilton, Canada.
The group works at the intersection of artificial intelligence, mechatronics engineering, electrified vehicles, smart mobility, energy storage systems, electric and hybrid powertrains, and autonomous systems. Students will contribute to research addressing the development of intelligent and sustainable transportation technologies, including advanced vehicle systems, energy technologies, and autonomous mobility solutions.
MARC provides a collaborative research environment where more than 250 researchers, industry experts, and postdoctoral fellows work under one roof. The centre is described as one of Canada’s leading facilities for electrified vehicle and smart mobility research, offering opportunities to engage with interdisciplinary academic and industry-focused projects.
The positions are suitable for students with backgrounds in mechanical engineering, electrical engineering, computer engineering, computer science, or related disciplines who want to work on AI-enabled vehicle and mobility technologies.
Funding details
Fully funded Master's and PhD positions are available. The post does not specify the stipend amount or details of tuition coverage.
What's required
Applicants must hold a bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Engineering, Computer Science, or a related field. Candidates should have excellent academic standing, a strong drive to learn, and a willingness to contribute.
How to apply
Complete the application form linked in the first comment of the LinkedIn post. The announcer states that the form is the best way to ensure the application is seen and that individual emails or direct messages will not be answered.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
Canada
Research Interests
Artificial Intelligence
Energy Storage Systems
Computer Science
Robotics
Electrical Engineering
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.