Anglia Ruskin University
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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
United Kingdom
University
Anglia Ruskin University

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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
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