Tianzhi He
5 months ago
Artificial Intelligence, Smart Buildings, Human-Centered AI UT San Antonio in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The positions are fully funded, including a tuition waiver and a competitive stipend. Full tuition support is provided for admitted students.
Deadline
Expired
Country
United States
University
University of Texas at San Antonio

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Where to contact
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About this position
The Ambient Intelligence Lab (AmI Lab) at the University of Texas at San Antonio is recruiting two fully funded PhD students to start in Spring or Fall 2026. The lab, led by Assistant Professor Tianzhi He, is part of the School of Civil & Environmental Engineering and Construction Management at the Klesse College of Engineering and Integrated Design. Research in the lab focuses on the intersection of human–building interaction, digital twins, AI agents, large language models (LLMs), wearable and embedded sensing, mixed reality (VR/AR/MR), and space habitats. Projects include developing proactive interfaces for occupant interaction, smart building reasoning engines using LLMs, AI systems for IoT and building data, physiological and environmental sensing, immersive tools for design and operations, and extending ambient intelligence to space habitats.
Applicants should have a bachelor's degree in a relevant field and programming experience; a master's degree, research experience, and familiarity with machine learning, BIM, IoT, wearables, VR/AR/MR, or digital twin platforms are desirable. The positions offer full tuition support and a competitive stipend. UTSA is a Tier One research university located in San Antonio, Texas, with cutting-edge facilities and a strong innovation ecosystem.
To apply, email Dr. Tianzhi He with your CV, cover letter, and writing samples, and submit a formal application to the UTSA Graduate School. For more information, visit the recruitment page.
Funding details
The positions are fully funded, including a tuition waiver and a competitive stipend. Full tuition support is provided for admitted students.
What's required
Applicants must have a bachelor's degree in Civil Engineering, Construction Management, Architectural Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or a closely related field. Demonstrated programming experience (e.g., Python, R, MATLAB, or comparable languages) is essential. A master's degree in a relevant field, prior research experience and/or publications, experience with Machine Learning/LLMs (e.g., PyTorch, TensorFlow, Prompt Engineering), background in BIM, building systems, IoT, wearables, or time-series data analysis, and exposure to VR/AR/MR workflows (Unity/Unreal Engine) or digital twin platforms are desirable but not required.
How to apply
Email Dr. Tianzhi He at [email protected] with the subject line 'AmI Lab PhD Application – Your Full Name' and include your CV/resume, cover letter, and writing samples if available. Submit a formal application to the UTSA Graduate School for the Civil Engineering PhD program. See the provided link for more details.
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