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PhD Positions in Digital Twin, Cyber-Physical Systems, and Industry 4.0 at University of South Carolina University of South Carolina in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Graduate assistantship with stipend and tuition support for the first 2 years; continued funding depends on progress.
Deadline
Jan 15, 2027
Country
United States
University
University of South Carolina
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About this position
PhD openings are available in the MOSAIC Lab (Manufacturing Operations: Simulation, Automation, Intelligence, and Connectivity) in the Department of Mechanical Engineering at the University of South Carolina.
The research focuses on how digital technologies form cyber-physical systems that support manufacturing digitalization for organizations of any size. Topics include real-time modeling and simulation, shop-floor sensing and connectivity, computer vision, edge computing, PLC integration, distributed Digital Twin architectures, and intelligent applications such as locally hosted LLM assistants over live Digital Twin data.
Students will work on an instrumented mixed-model educational assembly line designed to teach Industry 4.0 technologies. The post is especially relevant for applicants interested in mechanical engineering, industrial engineering, computer science, electrical engineering, robotics, IoT, embedded systems, machine learning, and digital manufacturing.
Applicants should have a B.S. or M.S. in Industrial/Mechanical/Electrical/Computer Engineering, Computer Science, or a related field. Preferred skills include Python or Java, simulation tools such as AnyLogic or Simio, IoT/embedded systems, ML/LLM experience, or robotics experience.
The position includes a graduate assistantship with stipend plus tuition for the first two years, with continued funding contingent on progress. The work is located in Columbia, South Carolina, USA, and the start term is Spring or Fall 2027.
To apply, email Dr. Michail Katsigiannis at [email protected] with the subject line 'Prospective PhD student - MOSAIC Lab'. Send a CV, unofficial transcripts, and a 1-page research interest statement; links to code or projects are optional but strongly valued.
Funding details
Graduate assistantship with stipend and tuition support for the first 2 years; continued funding depends on 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 Python or Java, simulation tools such as AnyLogic or Simio, IoT or embedded systems, machine learning or LLMs, and robotics. Application materials requested include a CV, unofficial transcripts, a 1-page research interest statement, and optional links to code or projects, which are weighed heavily.
How to apply
Email [email protected] with the subject line 'Prospective PhD student - MOSAIC Lab'. Include your CV, unofficial transcripts, and a 1-page research interest statement. Optional links to code or projects are encouraged and weighed heavily. For Spring 2027, apply ASAP; for Fall 2027, send materials by Jan 15, 2027.
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