Publisher
source

Anglia Ruskin University

Just Landed

Two Funded PhD Opportunities in Edge AI and Neuromorphic Computing at Anglia Ruskin University Anglia Ruskin University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Funded PhD positions with a £21,805 annual stipend for three years plus a full UK tuition-fee waiver.

Deadline

Sep 30, 2026

Country flag

Country

United Kingdom

University

Anglia Ruskin University

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Electrical Engineering
Materials Science
Adaptive Algorithms
Robotics
Security And Privacy
Computer Architecture

Suggested positions

About this position

Anglia Ruskin University (ARU) is recruiting for two funded PhD opportunities in Edge AI and neuromorphic computing, developed through a multidisciplinary collaboration with Arm. Both projects are full-time, based in Cambridge, UK, and start in January 2027.

Project 1: Poly-Neuromorphic AI for Robust Biomonitoring
This PhD explores the convergence of Edge AI and neuromorphic computing to develop adaptive, low-power learning systems for biomonitoring and wearable applications. The research will investigate a poly-neuromorphic approach combining spiking neural networks and adaptive learning to enable highly energy-efficient, brain-inspired AI for resource-constrained environments. The project brings together neuromorphic co-design, biomedical AI, and advanced materials engineering, with supervision from ARU and advisors from Arm and the University of Cambridge.

Project 2: Power-Efficient, Secure Edge AI Architectures
This PhD focuses on making AI at the edge both energy-efficient and secure. The research will examine how Edge AI algorithms interact with underlying hardware, develop robust leakage models, and explore new architectures that combine efficient AI computation with security and privacy. Potential applications include smart healthcare, autonomous systems, industrial IoT, and smart cities.

Funding and eligibility: The positions offer a £21,805 annual stipend for three years plus a full UK tuition-fee waiver. The post states that the opportunity is for UK students.

Deadline: 30 September 2026.

These PhD projects will suit applicants interested in computer architecture, hardware/software co-design, energy-efficient computing, neuromorphic computing, Edge AI, and secure AI systems.

Funding details

Funded PhD positions with a £21,805 annual stipend for three years plus a full UK tuition-fee waiver.

What's required

Applicants must be UK students. The post announces full-time PhD positions; no additional academic prerequisites, language requirements, or GPA thresholds are stated in the post.

How to apply

Review the linked project pages for each PhD opportunity and submit an application before the deadline. Use the provided project links to access the relevant application details and instructions.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?