Several Fully Funded PhD Positions in AI, Machine Learning and Urban Computing – Arizona State University 2027
Arizona State University
Professor Hua Wei’s DaRL Group at Arizona State University is recruiting several fully funded PhD students for Fall or Spring 2027 in machine learning, data mining, reinforcement learning and urban computing.
The DaRL Group in Arizona State University’s Fulton Schools of Engineering is recruiting several fully funded PhD students for Fall or Spring 2027. Research focuses on data mining and machine learning in real-world applications, especially reinforcement learning, urban computing, human-in-the-loop machine learning, robotics and cyber-physical systems.
Benefits
Several positions are explicitly advertised as fully funded. The lab page does not state the exact stipend or tuition/insurance breakdown.
Eligibility summary
Applicants should qualify for the Arizona State University Computer Science PhD programme. The lab welcomes applicants with strong programming, mathematical and machine-learning preparation.
Requirements
Programming experience, preferably Python and/or C++; foundations in probability, statistics, linear algebra and optimization; machine learning or data mining background; and experience with PyTorch or TensorFlow. Publications and experience in embedded systems, robotics or cyber-physical systems are advantageous.
Documents required
Complete the lab interest form and follow the official ASU Computer Science PhD application requirements. Include evidence of relevant academic, programming and research experience.
Language/test requirements
How to submit applications
Manually verified on 3 August 2026. The page states Fall/Spring 2027 but does not yet publish the 2027 university application deadline.
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