Fully Funded PhD Scholarships in Electrical and Computer Engineering – University of Arizona Fall 2025
Apply for fully funded PhD scholarships in Electrical & Computer Engineering at the University of Arizona! Join top-ranked research, with stipends, tuition, & health coverage – Fall 2025
Are you a highly motivated student with a Bachelor’s or Master’s degree and a strong background in mathematics, computer programming, AI/ML, parallel computing, or computer architecture? The University of Arizona’s Department of Electrical and Computer Engineering (ECE) invites talented individuals to join the Distributed AI and Smart Systems (DASS) Lab for the Fall 2025 PhD cohort. This is a fully funded opportunity in a top-ranked university renowned for cutting-edge research and exceptional student support.
Why Pursue Your PhD at the University of Arizona?
Top-Ranked Public Research University
- Ranked among the top 20 public research universities in the USA, the University of Arizona (UofA) is #1 in Arizona and consistently recognized for its substantial research expenditures (NSF ranking).
- In the 2024 Times Higher Education World University Rankings, UofA is listed among the top 25 public universities in the USA (#48 overall) and #155 globally.
Full Financial Support and Benefits
- PhD students in Electrical and Computer Engineering (ECE) or Computer Science and Engineering (CSE) programs are eligible for full tuition coverage and receive a competitive stipend through Research or Teaching Assistantships. Comprehensive health insurance also ensures you can focus fully on your research and academic journey.
Experience Tucson – A City of Innovation and Culture
- Tucson, designated as a UNESCO City of Gastronomy, offers a unique blend of vibrant culture, world-class food, and outdoor adventures. Explore stunning desert landscapes, hike, bike, or stargaze in one of the USA’s sunniest cities – all while benefiting from a strong academic support network and resources.
Join the DASS Lab at the University of Arizona
Dr. Jyotikrishna Dass, an expert in efficient machine learning algorithms and systems for distributed edge intelligence, leads the DASS Lab at UofA. The lab’s research focuses on cutting-edge topics in distributed AI systems, parallel ML algorithms, and computer systems. Students in the DASS Lab have the opportunity to work on innovative projects, contribute to top-tier conferences, and collaborate with a team dedicated to pushing the boundaries of machine learning and AI.
Ideal Candidate Profile for DASS Lab PhD Program
Applicants should have:
- A solid foundation in mathematics (linear algebra, optimization, matrix analysis).
- Proficiency in programming languages and tools such as Python/PyTorch, C++, MPI, ML/DL frameworks, and FPGA/HDL/CUDA.
- A passion for research and a resilient, driven mindset.
- Strong communication skills and the ability to work both independently and collaboratively.
Key Benefits of UofA’s PhD Program in Electrical and Computer Engineering
- High-impact Research Opportunities: Be part of the DASS Lab and contribute to research with real-world applications, such as smart systems and distributed AI.
- Comprehensive Mentorship and Support: Receive guidance from Dr. Dass and a supportive research community focused on personal and professional growth.
- Networking and Publication Opportunities: Present research in machine learning and systems at top conferences and journals.
Application Information – Priority Deadline: December 15th
The first step toward an enriching PhD experience at the University of Arizona is submitting a Research Interest Form for the DASS Lab. The GRE is not required, making the application process more accessible.
Secure Your Spot for a Transformative PhD Journey!
Apply by the priority deadline to maximize your chances of acceptance and funding. For more information, visit the DASS Lab website.
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