Open Modular System-Level Eval for AI Architectures

CENTRALE LYON; Écully; Hybride; EUR 38 000 - 54 000; Plein temps

Résumé du poste

CENTRALE LYON in Écully, France, seeks a postdoctoral researcher to develop an open, modular system‑level evaluation framework for design space exploration and co‑optimization of emerging AI computing architectures.

The work combines computer architecture, accelerator design, performance modelling and hardware–software codesign, grounded in device and circuit results to keep architectural conclusions credible.

Qualifications

• PhD in Electrical/Electronic Engineering or CS with strong cross‑layer architecture background.
• Expertise in performance, energy and area modelling for AI accelerators.
• Experience in design space exploration and multi‑objective optimization.
• Knowledge of hardware–software co-design and workload mapping.
• Familiarity with emerging memories, compute‑in‑memory or photonic computing.

Connaissances

Python

SystemC

C/C++

RISCV simulation

PyTorch/ONNX

Formation

PhD in Electrical or Electronic Engineering, Computer Engineering, Computer Science

Outils

QEMU

NeuroSim

CiMLoop/AccelForge

Timeloop

SystemC

Description du poste

CENTRALE LYON in Écully, France, seeks a postdoctoral researcher to develop an open, modular system‑level evaluation framework for design space exploration and co‑optimization of emerging AI computing architectures.

The work combines computer architecture, accelerator design, performance modelling and hardware–software codesign, grounded in device and circuit results to keep architectural conclusions credible.