The Department of Electrical and Computer Engineering at the University of Arizona is offering fully funded PhD positions (starting Fall 2026) and research internships (Summer 2026) in the Cyber-Physical Systems Security and Trustworthy AI Lab, led by Dr. Qingzhao Zhang. The lab focuses on system security, AI robustness, reliability in cyber-physical systems (CPS), and safety of large language models (LLMs) in real-world applications, including autonomous vehicles, drones, and industrial control systems. Applicants should have a background in computer science, electrical engineering, or related fields, and be interested in research areas such as system security, AI robustness, CPS reliability, and LLM safety. Required application materials include a CV, unofficial transcripts, and a short statement of motivation or sample paper/project (optional). PhD positions are fully funded, covering tuition and providing a stipend, while research internships may receive financial support based on agreement. To apply, email your materials to Dr. Qingzhao Zhang at qzzhang@arizona.edu, specifying the position type in the subject line. For more information, visit the lab website at https://zqzqz.github.io. The University of Arizona is located in Tucson, USA, and offers a vibrant research environment for students interested in cutting-edge topics in system security and trustworthy AI.