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 advertising a fully funded PhD opening in the Department of Computer Engineering for Fall 2026.

The position is with Sathwika Bavikadi, Tenure-Track Assistant Professor at Rochester Institute of Technology, and focuses on Processing-in-Memory (PIM) Architectures, Machine Learning, and Large Language Model (LLM) Optimization.

Ideal applicants should be self-motivated and driven, with a background in digital design, computer architecture, and machine learning. Preferred technical skills include VHDL, Verilog, and Python. Experience in VLSI and machine learning is an added advantage.

This is a fully funded PhD opportunity. The post does not mention a stipend amount, tuition details, or a formal application portal; instead, applicants are asked to email the supervisor directly.

To apply, send a CV, transcripts, and a brief statement of research interests to [email protected] with the subject line [PhD application: RIT_Fall_2026]. Qualified candidates will be invited for an interview.

Relevant study areas include Computer Science, Electrical Engineering, Computer Engineering, Machine Learning, and hardware/system design topics related to PIM and LLM acceleration.