Introduction

This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable fault detection.

Job Description

As part of the REACT Marie Skłodowska-Curie Actions (MSCA) Doctoral Network initiative, we are seeking a highly motivated PhD candidate to join our research group working on next-generation neuromorphic computing systems. Inspired by the computational principles of the human brain, neuromorphic systems promise ultra-low-power intelligent processing through event-driven computation, on-chip learning, and compute-in-memory (CiM) paradigms that significantly reduce data movement between memory and processing units. However, evaluating such architectures at system scale remains a major challenge due to the limitations of conventional software simul...