PhD Recruiting

Potential research directions include (but not limited to)

• AI Efficiency: Efficient deployment and adaptation of neural network/foundational models.

• AI behavior: Identifying and resolving issues on AI performance, robustness, fairness, interpretability, trustworthiness, etc.

• AI system and SW/HW codesign: Design AI algorithms that are suitable for system and hardware deployments, design system and hardware to accelerate AI deployments.

• AI application and optimization: design and optimize AI-based models and systems for emerging applications like autonomous driving, robotics, smart health, biomedical, and other natural/social science applications of interest.

Opportunities also exist for collaborating with other faculties/research labs in the UA, with other schools like UC Berkeley, Duke, JHU, UVA, UMD, etc., and with leading companies like NVIDIA, Qualcomm, and Panasonic, etc. 

Qualifications

• Self motivated, accountable, collaborative, hardworking, and most importantly, curious and eager to explore and learn 

• Obtained a Bachelor's degree or Master's degree in computer science, computer engineering, electrical engineering, mathematics, or related area by the time of admission

• Fluent english proficiency (for minimal requirement please check the admission website. No GRE required.)

• Solid math foundation and programming skills related to AI algorithms and systems

• Priority will be given to those with previous research experiences and those who are eager to learn

Application instructions

For prospective students to enroll into the Fall 2025 term: Please submit your application through the official application system of the university. Make sure you are applying to the ECE department. Feel free to contact me before applying by emailing me your CV, full transcript (unofficial), and an 1-page research interest statement. Apology in advance if I cannot respond to each individual email.

• Priority deadline: 12/15/2024

• Final deadline: 03/15/2025

For UA undergrad/graduate students interested in doing research with me: Feel free to contact me anytime.

Info about UA

Established in 1885, the University of Arizona is the state's land-grant university and a member of the Association of American Universities, a group of 65 leading public and private research universities. With campuses throughout Arizona, a presence in every county in the state, and a commitment to 100 percent student engagement, the UA produces graduates who are real-world ready. Recognized as a global leader for its research, the UA is advancing the frontiers of interdisciplinary scholarship and entrepreneurial partnerships. As the flagship university of the State of Arizona, the university is classified among "R1: Doctoral Universities – Very High Research Activity". The Department of Electrical and Computer Engineering is home to 36 faculty, including 4 Regents and Distinguished Professors, 9 IEEE Fellows, and 10 NSF CAREER Awardees.