Location: | London |
---|---|
Salary: | £46,732 per annum, including London Weighting Allowance |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 19th September 2024 |
---|---|
Closes: | 13th October 2024 |
Job Ref: | 095127 |
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 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 contribute to the architecture definition, design, tapeout, and measurements of a low-power Neuromorphic In-Memory Computing ASIC prototype for training LLMs meeting competitive metrics for energy, precision, and latency constraints.
The project will also involve the use of FPGA-based measurement and validation of the processor system for benchmarking its accuracy and energy efficiency performances on various large datasets. You will also have the opportunity to mentor PhD and MSc students working in the group.
This is a full-time role, and you will be offered a fixed term contract for 12 months, with the possibility of extension.
About you
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
Desirable criteria
Type / Role:
Subject Area(s):
Location(s):