PhD in Silicon Photonics for Energy-Efficient AI Hardware

ecolecentraledelyon; Écully; Sur place; EUR 19 000 - 26 000; Plein temps

Résumé du poste

INL invites a PhD candidate to explore a hybrid photonic–electronic computing paradigm for AI acceleration. The project focuses on designing photonics-based GEMM architectures and evaluating them within a DTCO/SDTCO framework.

The candidate will work on PCM-related constraints, noise/variability, and integration challenges between photonic and electronic domains, with collaboration across CAMELIA/LEAF partners.

Qualifications

• MSc in Electronics Engineering, Photonics, or Computer Engineering.
• Strong background in computer architecture, integrated circuits or photonic systems.
• Knowledge of AI hardware accelerators, in-memory computing or silicon photonics.

Responsabilités

• Design and evaluate silicon photonics-based architectures for GEMM operations.
• Develop system-level evaluation and benchmarking methodologies within a design–technology co-optimization framework.
• Address interface circuits for control, programming PCM elements, and optical-to-electrical readout.
• Collaborate with academic and institutional partners within CAMELIA/LEAF programs.

Connaissances

Computer architecture

Integrated circuits

Photonic systems

Formation

MSc in Electronics Engineering

Description du poste

INL invites a PhD candidate to explore a hybrid photonic–electronic computing paradigm for AI acceleration. The project focuses on designing photonics-based GEMM architectures and evaluating them within a DTCO/SDTCO framework.

The candidate will work on PCM-related constraints, noise/variability, and integration challenges between photonic and electronic domains, with collaboration across CAMELIA/LEAF partners.