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Ryan Ahmed

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1 day ago

PhD Positions in Mechatronics, Artificial Intelligence, and Autonomous Vehicles at McMaster University McMaster University in Canada

I am hiring two fully funded PhD students in Mechatronics, AI, and Autonomous Vehicles at McMaster University.

McMaster University

Canada

Date not provided

Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Robotics
Smart Mobility
Mechatronics
Autonomous Vehicle
energy storage systems

Description

McMaster University is offering two fully funded Ph.D. positions in Mechatronics, Artificial Intelligence, Energy Storage Systems, Smart Mobility, and Autonomous Driving. The positions are supervised by Professor Ryan Ahmed and are open to both domestic and international students. Research will be conducted at the McMaster Automotive Resource Center (MARC), a leading facility in electrified vehicles and smart mobility, in collaboration with industry and academic partners. Applicants should have a strong academic background and a Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related field. The research group focuses on advanced topics such as mechatronics, AI, energy storage, electric and hybrid powertrains, and autonomous systems. The university is located in Hamilton, Ontario, Canada, and is recognized for its research excellence and innovation. Funding is fully provided, covering tuition and a stipend. Interested candidates should complete the expression of interest form linked in the post. This is an excellent opportunity for students passionate about cutting-edge research in mechatronics, AI, and autonomous vehicles to join a world-class academic environment.

Funding

These are fully funded Ph.D. positions available to both domestic and international students. Funding covers tuition and provides a stipend, though the exact amount is not specified.

How to apply

Complete the expression of interest form using the provided link. Follow instructions in the post or first comment for the application link. Ensure you meet the eligibility criteria before applying.

Requirements

Applicants must have a strong academic background and a keen interest in research. A Bachelor's degree in Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related field is required. Passion for advanced research in mechatronics, artificial intelligence, energy storage, smart mobility, or autonomous vehicles is preferred.

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