UC Riverside: PhD Positions in AI Hardware/IC Design/3-D Chip

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The Intelligent Computing Architecture and Nanosystem (ICAN)Group at UC Riverside is recruiting multiple fully funded Ph.D. students forSpring and Fall 2025. We explore interdisciplinary research opportunities inintegrated circuits, computing hardware, heterogeneous integration, andartificial intelligence. We welcome prospective students to contact us about yourinterests and qualifications.

Research Directions

• Memory-Centric     Computing: In/near-memory computing, in/near-sensor computing, emergingmemory 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 andsystem-in-package, BEOL circuits, thermal management
  

• SW/HW     Co-Design for Embedded AI: Efficient tiny ML, AI-infused medical and autonomoussystems, intelligent sensor data reduction
  

Qualifications

Please feel free to contact us if you have the backgroundand interests in one or more of the following research areas. Extensiveexperience 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, SimulatorDevelopment, C/C++ Programming
  

• SW/HW     Co-Design for AI: Basic DNN Theory, ML Framework (TensorFlow/PyTorch), FPGAProgramming, Embedded Systems
  

Contact Us

If you are interested in joining the ICAN Group, pleaseemail wantong.li@ucr.edu with the email title of “ProspectiveStudent: your name, degree level (Bachelor’s, Master’s, or Ph.D.)”, as well asthe 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
  

Due to the large volume of inquiries, we will prioritizeresponding to emails that use the format suggested above.

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