Bo Xiao
4 days ago
Fully Funded PhD in Construction Automation, Robotics, and AI in Construction at Michigan Technological University Michigan Technological University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD positions with full financial support, including tuition, health insurance, and a monthly stipend.
Country
United States
University
Michigan Technological University

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About this position
Michigan Technological University is advertising fully funded PhD positions in Construction Automation and Robotics within the Computing and Robotics Construction (CaRC) Lab in the Department of Civil, Environmental, and Geospatial Engineering.
The research areas include construction automation and robotics, artificial intelligence in construction, computer vision and generative AI applications in construction, modular and prefabricated construction, BIM and digital twins, and blockchain-enabled contract management. The positions may start in Fall 2026, January 2027, or another date by negotiation.
The opportunity is led by Bo Xiao, Assistant Professor of Construction Management at Michigan Technological University. The post indicates that one or two PhD students may be recruited. The lab and program context suggest a strong fit for students interested in civil engineering, construction management, robotics, and computer science-oriented research in the built environment.
Funding is described as full financial support, including tuition, health insurance, and a monthly stipend. This is therefore a funded doctoral opening rather than a scholarship announcement.
Preferred applicants should already have a bachelor’s and master’s degree in construction management, civil engineering, transportation engineering, computer science, or a related field. The post also prefers candidates with research experience in robotics, computer vision, generative AI, machine learning, digital twins, or related construction IT; programming skills in Python, MATLAB, or C++; familiarity with PyTorch, TensorFlow, or MXNet; publication experience in peer-reviewed journals; and strong motivation and independence. Applicants must meet Michigan Tech’s general graduate admission requirements.
To apply, interested candidates should email [email protected] with a CV, transcripts, and a one-page research statement. The post also links to the CaRC Lab website and the PhD program page for more information.
Funding details
Fully funded PhD positions with full financial support, including tuition, health insurance, and a monthly stipend.
What's required
Applicants should hold a bachelor’s and master’s degree in construction management, civil engineering, transportation engineering, computer science, or a related field. Preferred candidates have research experience in robotics, computer vision, generative AI, machine learning, digital twins, or other information technologies in construction; programming experience in Python, MATLAB, or C++; familiarity with PyTorch, TensorFlow, or MXNet, or a strong willingness to learn; publication experience in peer-reviewed journals; strong research passion, self-motivation, and the ability to work independently. Applicants must also meet Michigan Technological University’s general graduate admission requirements.
How to apply
Email Bo Xiao with a CV, transcripts, and a one-page research statement. Mention your research background and availability window for Fall 2026, January 2027, or another negotiated start date.
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