Research Fellow in Autonomous Edge Learning

Economicsnetwork; Southampton; On-site; GBP 36,000 - 45,000; Full time

Job summary

An innovative project seeks talented researchers to contribute to a groundbreaking initiative focused on developing neuromorphic computing solutions for the defense and security sector. This role involves designing algorithms based on spiking neural networks and collaborating with experts across disciplines to create demonstrator applications. Successful candidates will be part of a dynamic team, working on cutting-edge technology that prioritizes privacy and security in public spaces. If you're passionate about AI and eager to make a meaningful impact, this opportunity is tailored for you.

Qualifications

• Candidates should be nearing completion of a relevant PhD qualification.
• Experience in AI/ML and detection algorithms is essential.

Responsibilities

• Design and test detection algorithms using artificial spiking neural networks.
• Collaborate with teams to develop demonstrator applications and conduct research.

Skills

Artificial Spiking Neural Networks

Edge Computing

Detection and Estimation

AI/ML

Neuromorphic Engineering

Education

PhD in relevant field

Tools

Neuromorphic Compute Architectures

Job description

Full Time Fixed Term for 24 months

A cross-disciplinary team of researchers from the Universities of York, Cardiff, Manchester, Stirling, and Southampton are working together on an exciting EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy, over long periods of time.

We are recruiting a team of outstanding researchers from Edge Computing, Detection and Estimation, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project’s ambitious objectives.

You will be required to undergo security checks, to be carried out by the National Security Technology Innovation Exchange (NSTIx) before beginning in this role. We will require all candidates invited to interview to apply for NSTIx clearance.

In this role you will:

1. Design and test detection and estimation algorithms utilising artificial spiking neural networks, alongside autonomous learning approaches.
2. Develop approaches to optimise the structure of a given artificial spiking neural network, to support their deployment onto state-of-the-art neuromorphic compute architectures.
3. Collaborate with the neuroscience, engineering, and computer science RAs to develop demonstrator applications, and to conduct research, publish, and disseminate research through publications, seminars, conference presentations and public engagement.

The post will be full time until December 2026.

By applying, you are agreeing that we can share your information with project partners. In your application, please provide a CV and cover letter detailing how you meet the essential and desirable criteria on the Job Description & Person Specification.

*Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given.

For informal enquiries: please contact Dr Mark Vousden ([e-mail]).

You can find more information on the Edgy Organism project on the UKRI Gateway to Research Website, at:

https://gtr.ukri.org/projects?ref=EP%2FY030133%2F1#

£36,130 to £44,128 per annum