University of Nevada
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Fully Funded PhD Positions in Construction AI, Sensing, and Robotics for Urban Environments at UNLV University of Nevada, Las Vegas in United States
Degree Level
PhD
Field of study
Computer Science
Funding
1-2 fully funded PhD positions are available. The post explicitly states the positions are fully funded; no stipend amount, tuition details, or other financial terms are provided.
Country
United States
University
University of Nevada

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About this position
UNLV’s Howard R. Hughes College of Engineering, Department of Civil & Environmental Engineering & Construction, is advertising 1–2 fully funded PhD positions with Dr. John Sohn.
The research focus is highly interdisciplinary and sits at the intersection of construction engineering, AI, robotics, sensing technologies, human factors, and social science. Topic areas mentioned include construction automation, construction safety, AI and robotics in construction and urban settings, sensing tech, digital transformation, mobility, urban livability, age-friendly built environments, and positive aging.
This opportunity is aimed at students interested in advancing automation, productivity, safety, and quality of life in urban environments. It is especially relevant for applicants with backgrounds or interests in computational methods, programming, data analytics, and applied engineering research.
Eligibility: a Bachelor’s or Master’s degree in a STEM field and satisfaction of UNLV Engineering graduate admission requirements. Preferred experience includes sensing, AI, robotics, or data analytics, along with strong computational/programming skills and publications in engineering or science.
Funding: fully funded PhD positions.
Application timing: Spring 2027 or Fall 2027.
How to apply: email a single PDF containing a 1-page cover letter, CV, and unofficial transcripts to [email protected]. Include TOEFL/IELTS English proficiency results if applicable and use the subject line “PhD Application – Spring/Fall 2027”.
Funding details
1-2 fully funded PhD positions are available. The post explicitly states the positions are fully funded; no stipend amount, tuition details, or other financial terms are provided.
What's required
Applicants should have a Bachelor's or Master's degree in a STEM field and meet UNLV Engineering graduate admission requirements. Preferred qualifications include experience in sensing, AI, robotics, or data analytics, strong computational/programming skills, and publications in engineering or science. English proficiency tests such as TOEFL/IELTS are required if applicable.
How to apply
Prepare a single PDF containing a 1-page cover letter describing your interests and background, your CV, and unofficial transcripts. Include English proficiency scores if applicable, and email the application to [email protected] with the subject line 'PhD Application – Spring/Fall 2027'.
More information can be found here
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