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The University of Tennessee Knoxville

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Fully Funded PhD in Physical AI and Robotics at University of Tennessee, Knoxville University of Tennessee, Knoxville in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

The University of Tennessee Knoxville

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Civil Engineering
Robotics
Autonomous System

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About this position

Fully funded PhD positions are available in Physical AI and Robotics at the University of Tennessee, Knoxville in the United States. The opportunity focuses on research in robotics, robot learning, and autonomous systems, with an emphasis on construction and unstructured environments.

This is a strong fit for students interested in combining AI with real-world robotic systems, especially where robots must operate in complex, dynamic, and less structured settings. The post highlights that the positions are fully funded, which is important for applicants seeking financial support during doctoral study.

No detailed eligibility requirements, supervisor names, or deadline are provided in the post itself. Interested applicants should use the opportunity details link to review the full call and application instructions.

Keywords: Physical AI, Robotics, Autonomous Systems, Robot Learning, Construction Robotics, Unstructured Environments.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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