The CaRC Lab from Michigan Technological University (Michigan Tech) is offering a funded PhD position. The PhD position is for students who have an interest in construction engineering, robotics, and artificial intelligence. Students who take up this opportunity can start their studies either in fall 2026, January 2027, or at any other time that suits them.
About the CaRC Lab
The Computing and Robotics Construction (CaRC) Laboratory is situated in the Civil, Environmental, and Geospatial Engineering Department at Michigan Technological University. The lab is mainly concerned with developing technologies that are meant to automate the construction process by using robotics, artificial intelligence, and digitalization techniques.
PhD in Construction Robotics Research Areas
Selected research themes include:
- Automated construction and construction robots
- Construction with artificial intelligence
- Computer vision and generative artificial intelligence
- Prefabrication and modular construction
- Building Information Modeling (BIM) and digital twins
- Smart contracts using blockchain
All these topics are indicative of the increasing trend towards intelligent and autonomous construction ecosystems.
PhD in Construction Robotics Funding and Benefits
The selected PhD candidates will receive full financial support, including:
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Full tuition coverage
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Monthly stipend
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Health insurance
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Flexible enrollment timeline
This comprehensive funding ensures students can focus fully on research and academic development.
PhD in Construction Robotics Eligibility Criteria
The candidate must possess the following qualifications:
Academic Qualifications:
- Bachelor’s degree and master’s degree in civil engineering, construction management, computer science, transportation engineering, or a related discipline
Technical Expertise:
- Hands-on knowledge of programming with Python, MATLAB, and C++
- Knowledge of machine learning libraries like PyTorch, TensorFlow, and MXNet (or willingness to learn)
Research Expertise:
- Exposure to fields like robotics, computer vision, generative AI, machine learning, digital twins, and similar domains
- Previous publication in scientific journals is an added advantage
Other Attributes:
- Strong research orientation and independence
- Interdisciplinary working environment compatibility
- Must meet Michigan Tech graduate admission criteria
Application Process
Interested candidates should submit the following documents via email:
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Curriculum Vitae (CV)
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Academic transcripts
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One-page research statement
Send your application to [email protected].
Tips to Strengthen Your Application
To improve your chances of selection:
- Make sure that your research statement aligns with AI-enabled construction technology or robotics.
- Mention programming skills, preferably in Python or MATLAB
- Discuss machine learning or computer vision knowledge
- Show your publication record, manuscripts in preparation, or relevant research projects
- Show interdisciplinary thinking between engineering and computational science
Useful Links
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Learn more about the CaRC Lab: https://bxiao2.wixsite.com/my-site
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Explore the PhD program details: https://www.mtu.edu/cege/graduate/civil/
Final Thoughts
This is an exciting fully funded PhD scholarship that will allow you to be part of groundbreaking research in construction technology by bringing together engineering concepts with the latest AI and robotic technology.
For those who have a background in technology and want to be a part of this revolution in construction industry through a fully funded PhD program, this is the chance you should not miss.
Keep watching this space for other fully funded PhD scholarships.
Frequently Asked Questions (FAQs)
1. Is this PhD position fully funded?
Yes, the position is fully funded, covering tuition, stipend, and medical benefits. It enables students to fully concentrate on their work.
2. When can I start the PhD program?
The starting date is flexible for the selected candidate and can be either Fall 2026, January 2027, or any other date agreed upon between the candidate and the supervisor.
3. What academic background is required?
A bachelor’s and master’s degree in civil engineering, construction management, computer science, transportation engineering, or any similar area is required from the applicants.
4. Is prior research experience mandatory?
Though it is not mandatory, candidates having some research experience in robotics, artificial intelligence, computer vision, or digital twins will be highly favored. If the candidate is actively doing any research work, that will definitely increase his/her chances of selection.
5. What programming skills are expected?
Previous experience with one of the following programming languages, such as Python, MATLAB, or C++, is expected. Experience with machine learning platforms such as PyTorch and TensorFlow is desirable.
6. Do I need to have publications before applying?
Publication is not required but is highly preferred. It is helpful to show evidence of scholarly productivity through published papers or papers submitted for publication in conferences or journals.
7. What should I include in the research statement?
This one-page research statement must detail your area of research interest, experience, and connection with the areas of research at the laboratory, which include construction automation, AI, robotics, etc.
8. How do I apply for this position?
You need to email your CV, transcripts, and one-page research statement to the supervisor at [email protected].
9. Is knowledge of construction engineering required for computer science applicants?
Not always. Those who come from a background of computer science or a similar discipline are advised to apply, in case they have proficiency in artificial intelligence, machine learning, and computer vision.
10. Can international students apply for PhD in construction robotics?
Yes, international students can apply for the program, as long as they meet the graduate admission criteria of Michigan Technological University.
11. How competitive is PhD in construction robotics?
The fully funded PhD spots are usually very competitive. Those who have impressive academic performance, appropriate technical skills, and whose research fits well with the focus areas of the lab will have more chances to be selected.
12. What research areas are most prioritized for PhD in construction robotics?
Interdisciplinary research is key to this lab’s focus on combining construction with technology, especially artificial intelligence, robotics, computer vision, and digital twins.
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