Fully Funded PhD in Computer Engineering: Processing-in-Memory Architectures, Machine Learning, and LLM Optimization Rochester Institute of Technology in United States

Rochester Institute of Technology is recruiting a fully funded PhD student for Fall 2026 in the Department of Computer Engineering.

The position is in the research group of Sathwika Bavikadi, Tenure-Track Assistant Professor at RIT, and focuses on Processing-in-Memory (PIM) Architectures, Machine Learning, and Large Language Model (LLM) Optimization. This opportunity is well suited to students interested in computer architecture, digital design, and hardware/software co-design.

Preferred preparation includes foundations in digital design, computer architecture, and machine learning. Strong programming skills in VHDL, Verilog, and Python are desired, and experience in VLSI or machine learning is an added advantage.

The post states that the PhD position is fully funded. Interested candidates should email the supervisor with a CV, transcripts, and a brief statement of research interests. The subject line should be [PhD application: RIT_Fall_2026]. Qualified applicants will be invited for an interview.

Institution: Rochester Institute of Technology, United States. Application timing: Fall 2026.