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Michigan Technological University

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PhD Opening in Agentic Vision-Language Models and Robotic Assembly Michigan Technological University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

United States

University

Michigan Technological University

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Keywords

Computer Science
Mechanical Engineering
Industrial Engineering
Robotics
Large Language Models

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About this position

Michigan Technological University has an immediate PhD opening with Assistant Professor Vinh Nguyen in agentic vision-language models and robotic assembly.

The project focuses on building a unique manufacturing assembly workcell that uses agentic vision-language models for both fully robotic and human-collaborative assembly operations. A second research direction includes penetration testing of the workcell for cybersecurity quantification, making this a strong fit for students interested in robotics, AI for manufacturing, and secure automation.

Preferred applicants should have an MS in Mechanical Engineering, Computer Science, Robotics, or a related field, along with coding experience for robotic systems. Experience with vision-language models, large-language models, or agentic foundation models is especially relevant. Hands-on exposure to manufacturing environments such as machining, robotic programming, and production-level assembly is also preferred.

This is a PhD-level opening at Michigan Technological University in the United States. Interested candidates should email their CV to [email protected].

Funding details

Available

What's required

Preferred qualifications include an MS in Mechanical Engineering, Computer Science, Robotics, or a related field; fundamental knowledge in coding robotic systems; proficiency in vision-language models, large-language models, or agentic foundation models; and hands-on experience in manufacturing environments including machining, robotic programming, and production-level assembly.

How to apply

Send your CV directly to Vinh Nguyen by email at [email protected].

More information can be found here

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