Research Associate in Brain-inspired Learning Accelerators

;, United Kingdom

Updated: about 1 month ago
Location: London, ENGLAND
Job Type: FullTime
Deadline: 26 Mar 2025

About us

Recently re-founded, the Department of Engineering is rapidly expanding into a world-class research and teaching department. Research currently focuses on information processing systems, robotics, telecommunications, and biomedical engineering, but we are looking to establish new research themes.  

This post will be affiliated with the newly established Centre for Intelligent Information Processing Systems within the department. 

About the role

The Centre for Intelligent Information Processing Systems (CIIPS) led by Professor Bipin Rajendran and Professor Osvaldo Simeone brings together interdisciplinary and diverse expertise synergistically to address future challenges in intelligent information systems, encompassing hardware-software co-design, nanoscale information systems, signal processing, information engineering, and quantum information processing. 

We are seeking a highly motivated and conscientious post-doctoral researcher to work on a project funded by ARIA that involves the design, implementation and validation of accelerators for training large language models (LLMs) based on neuromorphic computing and In-Memory Computing (IMC) principles.

The project will develop a low-power Neuromorphic In-Memory Computing (IMC) ASIC prototype in nano-scale advanced CMOS technology based on spiking neural networks (SNNs) for both training and inference of of LLMs.

You will also have the opportunity to mentor PhD and MSc students working in the group.

This is a full-time contract (35 hours per week), and you will be offered a fixed term contract until 15 May 2026


Similar Positions