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Qingzhao Zhang

Assistant Professor at University of Arizona

University of Arizona

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United States

Has open position

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Research Interests

Artificial Intelligence

10%

Industrial Automation

10%

Drone Technology

30%

Computer Security

30%

Computer Science

30%

Trustworthy Computing

30%

Autonomous Vehicle

30%

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Positions3

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Qingzhao Zhang

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University of Arizona

Electrical and Computer Engineering

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 [email protected], 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.

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