Amna Mazen
6 months 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
Aug 1, 2026
Country
United States
University
Michigan Technological University
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Where to contact
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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.
How to apply
Fill out the Google Form linked in the post to apply. Review the attached document for further details. Contact the lab or supervisors for questions if needed.
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