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North Carolina Agricultural and Technical State University

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Fully Funded PhD in Construction Safety, AI, and Wearable Robotics at NC A&T State University North Carolina Agricultural and Technical State University in United States

Degree Level

PhD

Field of study

Computer Science

Funding

2-3 fully funded PhD positions are offered for Fall 2027. The post describes the positions as fully funded and collaborative, hands-on, mentored, with opportunities for publications, conferences, and fellowships.

Deadline

Sep 20, 2026

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Country

United States

University

North Carolina Agricultural and Technical State University

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Keywords

Computer Science
Biomedical Engineering
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Civil Engineering
Industrial Engineering
Computer Vision
Human Factors Engineering
Digital Twin Technology
Internet Of Things
Robotics
Smart Building
Vehicle Safety
Construction Safety

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About this position

North Carolina A&T State University is advertising 2–3 fully funded PhD positions for Fall 2027 in the Department of Built Environment and the Khan Construction Innovation Lab with Dr. Muhammad Khan.

The research sits at the intersection of construction safety, AI, human factors, wearable robotics, biomechanics, transportation safety, and smart/digital construction. Suggested directions include: (1) wearable robotics, exoskeletons, and human-robot interaction; (2) highway and work-zone construction safety; and (3) AI for smart and digital construction.

The lab environment highlights work in AI, wearable robotics, human-centered sensing, exoskeletons, driving simulators, VR/AR/MR, wall-climbing/quadruped/drone robots, and high-computing resources. The positions are described as fully funded, collaborative, hands-on, and mentored, with opportunities for publications, conferences, and fellowships.

Eligible applicants should have training in Civil Engineering, Construction Engineering and Management, Computer Science, AI/Data Science, Industrial and Systems Engineering, or a closely related field. Helpful skills include Python, MATLAB, R, AI/ML/deep learning, computer vision, biomechanics, wearable sensors, robotics/ROS, BIM, digital twins, IoT, transport safety analytics, statistical modeling, and experimental methods. The post emphasizes that curiosity, motivation, and cross-disciplinary interest matter more than matching every skill.

To apply, scan the QR code or use the application link in the post. Prepare a CV, transcripts, and a research statement. Questions can be sent to [email protected]. The application deadline is 2026-09-20.

Funding details

2-3 fully funded PhD positions are offered for Fall 2027. The post describes the positions as fully funded and collaborative, hands-on, mentored, with opportunities for publications, conferences, and fellowships.

What's required

Applicants should have a background in Civil, Construction Engineering and Management, Computer Science, AI/Data Science, Industrial and Systems Engineering, or a closely related field. Desired skills include Python, MATLAB, R, AI/ML/deep learning, computer vision, biomechanics, wearable sensors, robotics/ROS, BIM, digital twins, IoT, transport safety analytics, statistical modeling, and experimental research. Curiosity, motivation, and willingness to work across disciplines are emphasized.

How to apply

Scan the QR code or use the application link in the post to apply. Submit a CV, transcripts, and a research statement. Direct questions to [email protected]. Shortlisted candidates will be contacted.

More information can be found here

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