CENTRALE LYON - Post Doctoral Open and Flexible System-Level Evaluation Framework for Emerging AI Computing Architectures

Emerging computing technologies – non-volatile and ferroelectric memories, analog and digital in-memory computing, silicon photonics, 3D integration, and heterogeneous chiplets – offer major gains in energy efficiency, latency, bandwidth, and functionality. Their potential cannot, however, be established from device or circuit results alone: it requires a rigorous link between technology characteristics, architectural choices, workload mapping, and application-level figures of merit.

The Electronics group at the Lyon Institute of Nanotechnology (INL) is seeking a (m/f) postdoctoral researcher to develop an open, modular and extensible system-level evaluation framework for design space exploration (DSE) and system-design-technology co-optimization (SDTCO) of emerging computing architectures. The focus is at the interface of computer architecture, accelerator design, performance modelling and hardware-software codesign, while making systematic use of lower-level device, circuit and array results so that architectural conclusions remain physically credible.

The objective is to convert low-level results – compact models, measured or simulated KPIs, variability and reliability constraints, and multi-objective Pareto fronts – into parameterized architectural models supporting efficient exploration of accelerators for emerging AI workloads. The framework must enable both bottom-up projection, from d