Publisher
source

University of South Carolina

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Fully Funded PhD in Digital Manufacturing and Digital Twins University of South Carolina in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD positions with graduate assistantship, stipend, and tuition support for the first two years. Continued funding is expected based on satisfactory progress.

Deadline

Jan 15, 2027

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Country

United States

University

University of South Carolina

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Industrial Engineering
Computer Vision
Digital Manufacturing
Digital Twin Technology
Internet Of Things
Monte Carlo Simulation
Robotics
ML

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About this position

Fully funded PhD positions are available in Digital Manufacturing and Digital Twins at the MOSAIC Lab, Department of Mechanical Engineering, University of South Carolina (USA).

The project sits at the intersection of mechanical engineering, industrial engineering, computer science, and electrical engineering, with research interests including simulation, IoT, machine learning, robotics, computer vision, and programming for advanced manufacturing systems.

Funding includes a graduate assistantship with stipend and tuition support for the first two years, with continued funding expected based on satisfactory progress.

Applicants should have a B.S. or M.S. in Industrial, Mechanical, Electrical or Computer Engineering, Computer Science, or a related field. Prior experience with programming, digital twins, simulation, IoT, machine learning, robotics, or computer vision is preferred.

To apply, email your CV, transcript, and research statement to [email protected] with the subject line Prospective PhD student – MOSAIC Lab. The post notes a Spring 2027 deadline already passed for international applicants and highlights January 15, 2027 as the Fall 2027 early lab consideration deadline.

Funding details

Fully funded PhD positions with graduate assistantship, stipend, and tuition support for the first two years. Continued funding is expected based on satisfactory progress.

What's required

Applicants should have a B.S. or M.S. in Industrial, Mechanical, Electrical or Computer Engineering, Computer Science, or a related field. Preferred experience includes programming, digital twins, simulation, IoT, machine learning, robotics, or computer vision.

How to apply

Email your CV, transcript, and research statement to [email protected] for early lab consideration. Use the subject line "Prospective PhD student – MOSAIC Lab".

More information can be found here

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