Muhammad Khan
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Fully Funded PhD Opportunities in Wearable Robotics, Construction Safety, and AI for Smart Construction North Carolina Agricultural and Technical State University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD opportunities for 2–3 students. No stipend, tuition, or other funding details are specified in the post.
Deadline
Sep 20, 2026
Country
United States
University
North Carolina Agricultural and Technical State University

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About this position
Fully funded PhD opportunities are available in the Khan Construction Innovation Lab in the Department of Built Environment at North Carolina Agricultural and Technical State University.
The opening is for 2–3 highly motivated PhD students starting in Fall 2027. Research topics include wearable robotics, exoskeletons, human-robot interaction, highway and work-zone construction safety, and AI for smart and digital construction.
Students with backgrounds in Civil/Construction Engineering, Computer Science, AI/Data Science, Industrial & Systems Engineering, or related disciplines are encouraged to apply. The post highlights a strong fit for applicants interested in robotics, construction safety, artificial intelligence, and digital construction technologies.
Funding is described as fully funded, but no further details are provided about stipend, tuition, or benefits.
Application deadline: September 20, 2026. Applicants are instructed to apply using the QR code or Google Form link in the attached flyer, and questions can be sent to [email protected].
Funding details
Fully funded PhD opportunities for 2–3 students. No stipend, tuition, or other funding details are specified in the post.
What's required
Applicants should be highly motivated PhD candidates from Civil/Construction Engineering, Computer Science, AI/Data Science, Industrial & Systems Engineering, or related disciplines. Interest or background in wearable robotics, exoskeletons, human-robot interaction, construction safety, AI, or digital construction is preferred.
How to apply
Apply through the QR code or Google Form link provided in the attached flyer. For questions, email Muhammad Khan at [email protected].
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