Shervin Vakili

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.