The Ambient Intelligence Lab (AmI Lab) at the University of Texas at San Antonio (UTSA) is recruiting two fully funded PhD students to start in Spring or Fall 2026. The lab, part of the School of Civil & Environmental Engineering and Construction Management, focuses on research at the intersection of human–building interaction, digital twins, AI agents, large language models, wearable and embedded sensing, mixed reality (VR/AR/MR), and space habitats. Students will explore how artificial intelligence, embedded and wearable sensing, and mixed reality technologies can create human-centric ambient intelligence for smart built environments. Ongoing research topics include proactive interfaces for occupant interactions, smart building reasoning engines using LLMs, AI systems for IoT and building data, physiological and environmental sensing, immersive tools for design and operations, virtual/physical synchronization for monitoring and control, and extending ambient intelligence to space habitats. Applicants should have a bachelor's degree in a relevant engineering or computer science field and programming experience. Desirable qualifications include a master's degree, research experience, machine learning skills, and familiarity with BIM, IoT, wearables, VR/AR/MR, or digital twin platforms. The positions offer full tuition support and a competitive stipend. To apply, candidates should email Dr. Tianzhi He with their CV, cover letter, and writing samples, and submit a formal application to the UTSA Graduate School. UTSA is a Tier One research university located in San Antonio, Texas, with cutting-edge facilities and a strong innovation ecosystem.

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 Dr. 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. The lab aims to create human-centric ambient intelligence for smart built environments, with ongoing projects in proactive building interfaces, smart building reasoning engines, IoT and energy management, physiological and environmental sensing, immersive design and training tools, and virtual/physical synchronization for monitoring and control. Applicants should have a bachelor's degree in a relevant field (Civil Engineering, Construction Management, Architectural Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or similar) and demonstrated programming experience. Desirable qualifications include a master's degree, prior research experience, machine learning/LLM skills, background in BIM, building systems, IoT, wearables, time-series data analysis, and exposure to VR/AR/MR workflows or digital twin platforms. The positions offer full tuition support and a competitive stipend. To apply, email Dr. Tianzhi He with your CV, cover letter, and writing samples, and submit a formal application to the UTSA Graduate School. The deadline for applications is January 31, 2026. For more information, visit the recruitment page or contact Dr. He directly.

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.