PhD Positions in Sensing, Embedded AI, and Resource-Constrained Systems at Rice University

Rice University is seeking multiple PhD students to join research in sensing and intelligence for resource-constrained systems, led by Assistant Professor Nakul Garg. The research focuses on ambient computing, embedded AI, and devices operating in challenging environments such as underwater, in-body, aerial, or other extreme settings. Key topics include acoustic and wireless sensing, efficient AI on embedded hardware, human-centric interfaces, spatial perception using sound and RF, and analog wireless computing for passive sensing and AI inference. Students interested in building real-world systems using physics, machine learning, wireless technologies, acoustics, circuits, and hardware will find many exciting problems to work on. The lab explores ambient computing interfaces, health and robotic perception, and metastructure design for advanced sensing and communication. Applicants should have a strong background in computer science, electrical engineering, or related fields, and a passion for hands-on research in embedded systems, robotics, and AI. Experience with hardware, wireless systems, or acoustics is a plus. The PhD program at Rice University typically provides full funding, including tuition and stipend, for admitted students. Prospective students should review the Rice ECE PhD program requirements and prepare their application materials accordingly. The application deadline for Fall 2026 admission is December 28, 2025. Interested candidates should fill out the interest form and apply through the Rice ECE PhD program website. For more information about the research and lab, visit Professor Nakul Garg's academic page.