Li Ai
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PhD and MS openings in Structural Health Monitoring, Computer Vision, and Digital Twin Infrastructure Systems University of Texas Rio Grande Valley in United States
Degree Level
Master's, PhD
Field of study
Computer Science
Funding
Full funding available
Country
United States
University
The University of Texas Rio Grande Valley
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About this position
The research team of Li Ai, Assistant Professor at the University of Texas Rio Grande Valley, is looking for one PhD student and one MS student to join the group.
The advertised research areas include Structural Health Monitoring, Nondestructive Evaluation, Computer Vision applications in Civil Infrastructure, and Digital Twin and AI-Driven Infrastructure Systems. These topics sit at the intersection of Civil Engineering, Computer Science, and related engineering fields.
Eligibility: due to funding restrictions, PhD applications are currently limited to U.S. citizens or permanent residents. There are no citizenship or residency restrictions for M.S. applicants.
Funding: the post mentions funding restrictions but does not provide stipend, tuition, or assistantship details.
How to apply: interested candidates should contact [email protected] directly with their background and research interests.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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