UC Riverside: Fully-Funded PhD Openings in AI Hardware/IC Design/VLSI
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The application portal for Spring and Fall 2025 is now open at ece.ucr.edu
The Intelligent Computing Architecture and Nanosystem (ICAN) Group at UC Riverside, directed by Prof. Wantong Li, is recruiting multiple fully funded Ph.D. students for Spring and Fall 2025. We explore interdisciplinary research opportunities in integrated circuits, computing hardware, heterogeneous integration, and artificial intelligence. We welcome prospective students to contact us about your interests and qualifications.
Research Directions
Memory-Centric Computing: In/near-memory computing, in/near-sensor computing, emerging memory and post-CMOS technologies
Reliable and Robust IC Design: PVT-robust circuits, fault tolerance, hardware security, cryogenic microelectronics
Heterogeneous Integrated Nanosystems: Monolithic/heterogeneous 3-D systems, chiplets and system-in-package, BEOL circuits, thermal management
SW/HW Co-Design for Embedded AI: Efficient tiny ML, AI-infused medical and autonomous systems, intelligent sensor data reduction
Qualifications
Please feel free to contact us if you have the background and interests in one or more of the following research areas. Extensive experience in at least one of these technical areas is expected.
Integrated Circuits & VLSI: Analog IC Design, Verilog RTL, Physical Design, Verilog-A/AMS Modeling, Advanced Packaging Design
Computer Architecture: In/Near-Memory Computing, Memory Systems, Simulator Development, C/C++ Programming
SW/HW Co-Design for AI: Basic DNN Theory, ML Framework (TensorFlow/PyTorch), FPGA Programming, Embedded Systems
Contact Us
If you are interested in joining the ICAN Group, please email 1point3acres.com with the email title of "Prospective Student: your name, degree level (Bachelor's, Master's, or Ph.D.)", as well as the following information about you:
The Intelligent Computing Architecture and Nanosystem (ICAN) Group at UC Riverside, directed by Prof. Wantong Li, is recruiting multiple fully funded Ph.D. students for Spring and Fall 2025. We explore interdisciplinary research opportunities in integrated circuits, computing hardware, heterogeneous integration, and artificial intelligence. We welcome prospective students to contact us about your interests and qualifications.
Research Directions
Memory-Centric Computing: In/near-memory computing, in/near-sensor computing, emerging memory and post-CMOS technologies
Reliable and Robust IC Design: PVT-robust circuits, fault tolerance, hardware security, cryogenic microelectronics
Heterogeneous Integrated Nanosystems: Monolithic/heterogeneous 3-D systems, chiplets and system-in-package, BEOL circuits, thermal management
SW/HW Co-Design for Embedded AI: Efficient tiny ML, AI-infused medical and autonomous systems, intelligent sensor data reduction
Qualifications
Please feel free to contact us if you have the background and interests in one or more of the following research areas. Extensive experience in at least one of these technical areas is expected.
Integrated Circuits & VLSI: Analog IC Design, Verilog RTL, Physical Design, Verilog-A/AMS Modeling, Advanced Packaging Design
Computer Architecture: In/Near-Memory Computing, Memory Systems, Simulator Development, C/C++ Programming
SW/HW Co-Design for AI: Basic DNN Theory, ML Framework (TensorFlow/PyTorch), FPGA Programming, Embedded Systems
Contact Us
If you are interested in joining the ICAN Group, please email 1point3acres.com with the email title of "Prospective Student: your name, degree level (Bachelor's, Master's, or Ph.D.)", as well as the following information about you:
- Current CV
- Undergraduate (and Master's if applicable) transcripts
- A brief description of your research interests, and the reason you are interested in doing research with ICAN
- Your proficiency in the skillsets described above (You may use a scoring system from 0 to 5)
- Previous publications, coding and project samples
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