Publisher
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Amna Mazen

1 year ago

Robotics Michigan Tech in United States

Degree Level

PhD

Field of study

Computer Science

Funding

The position is fully funded, covering tuition and providing a stipend as a Graduate Research Assistant. Details on the exact stipend amount are not specified.

Deadline

Expired

Country flag

Country

United States

University

Michigan Technological University

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Keywords

Computer Science
Machine Learning
Mechanical Engineering
Electrical Engineering
Remote Sensing
Artificial Intelligence
Computer Vision
Mobile Robotics
Robotics
Unmanned Aerial Vehicle
Mechatronics

About this position

The Robotics and Remote Sensing Lab (RRSL) at Michigan Technological University is offering a fully funded PhD position in robotics, with a focus on machine learning and remote sensing. The lab, led by Assistant Professors Amna Mazen and Ashraf Saleem, specializes in areas such as autonomous robots, UAV-based remote sensing, computer vision, AI, mechatronics, and system integration. The successful candidate will join a dynamic research team working on cutting-edge projects that integrate robotic systems, advanced data acquisition, and AI-driven analysis to address real-world challenges.

Applicants should have a strong academic background in robotics, computer science, engineering, or related fields, and demonstrate skills in programming, machine learning, and robotics. The position is fully funded, including tuition and a stipend as a Graduate Research Assistant. The application deadline is August 1, 2026, for a Spring 2026 start. Interested candidates should fill out the provided Google Form and review the lab's website for more information.

For questions, contact the supervisors via email.

Funding details

The position is fully funded, covering tuition and providing a stipend as a Graduate Research Assistant. Details on the exact stipend amount are not specified.

What's required

Applicants should hold a bachelor's or master's degree in robotics, computer science, engineering, or a closely related field. Strong background in robotics, machine learning, computer vision, or mechatronics is preferred. Experience with programming, data acquisition, and real-time control is advantageous. Excellent communication skills and motivation for research are expected.

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Professors

Assistant Professor

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Robotics

Mechanical Engineering

Computer Science

Remote Sensing

Assistant Professor

University Name
Country flag

United States

Research Interests

Energy Engineering

Artificial Intelligence

Remote Sensing

Electromechanics

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