PhD in Computer Architecture and High-Performance Digital Circuit Design for AI Computing Institut national de la recherche scientifique in Canada

PhD opportunity at the Institut national de la recherche scientifique (INRS), Montréal, Canada, in the Edge Computing, Communication, and Learning (ECCoLe) Lab led by Assistant Professor Shervin Vakili.

The project sits at the intersection of computer architecture, electrical engineering, digital design, and AI computing. Research topics include high-performance digital circuits and systems for AI workloads, as well as hardware-aware machine learning model optimization such as quantization and pruning. The lab also highlights high-efficiency circuits and system design for deep learning computing, with a focus on edge computing and telecommunications.

Applicants should have a Master’s degree in Computer Engineering or Electrical Engineering, a strong background in digital design and computer architecture, and proficiency in VHDL or Verilog. Experience with FPGA and ASIC tools, and programming in MATLAB, Python, or C++, is expected. Knowledge of machine learning and optimization methods is an asset, and familiarity with TensorFlow or PyTorch is also beneficial.

The position is described as offering funding and scholarship opportunities. The post does not specify a stipend amount or exact package, but it indicates financial support is available.

Application deadline: 2026-05-15.

To apply, email a detailed CV and copies of academic transcripts to [email protected] with the subject line “PhD Position – Computer Architecture, INRS”. Only shortlisted applicants will be contacted.