Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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243 research degree projects
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Electronics and computer science
Soft Robots with Integrated Sensing, On-Demand Therapy and AI-assisted Control
This PhD project aims to develop advanced soft robotic systems with integrated sensing, on-demand therapy, and AI-driven closed-loop control. This interdisciplinary research opportunity merges medical robotics, bioelectronics, and wearable technology for transformative healthcare applications. Ideal for innovators in biomedical engineering, robotics, or flexible electronics.
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Electronics and computer science | Art, design, media and fashion
What is Art? At the intersection of Artificial Intelligence and Art
This project explores the intersection of Artificial Intelligence (AI) and Art, examining how machine learning can contribute to artistic creation and expand our understanding of what art is. Through developing generative models, physically embedded tools, and fostering human-AI collaborative artistic processes, this research addresses creativity, authorship, and originality.
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Electronics and computer science | Mathematical sciences
Interpretable Models: Bringing Transparency to Deep Learning Decision-Making
To trust Deep Learning models in sensitive applications such as autonomous vehicles or healthcare, we need to better understand which information they rely on when making decisions. In this project we set out to create novel tools to solve this crucial step towards AI Safety.
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Electronics and computer science | Photonics and optoelectronics
Development of Metasurfaces with Extreme Light Manipulation Capabilities for Intelligent Sensing
This PhD project aims to develop optical metasurfaces with extreme light manipulation capabilities by employing deep learning-based design methodologies alongside advanced nanofabrication techniques pioneered by our teams at 天发娱乐棋牌_天发娱乐APP-官网|下载. These cutting-edge devices will be applied to intelligent sensing applications in complex environments, including those in biomedical fields and consumer electronics.
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Electronics and computer science
Malicious energy draining in deep learning: novel attacks, defences, and AI governance
This project addresses malicious energy draining attacks (which significantly increase power consumption of deep learning algorithms) and contributes to energy-efficient artificial Intelligence (AI). You will have opportunities for collaboration in academia and industry, including Cambridge, Microsoft, Nvidia, ARM, and Google DeepMind.
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Electronics and computer science | Biological sciences
Hypoxic-ischaemic encephalopathy early detection by using image analysis of MRI susceptibility weighted imaging
Hypoxic-ischaemic encephalopathy (HIE) affects babies' brains during the childbirth due to shortages of oxygen. Using computer vision and machine learning techniques, HIE disease is diagnosed much earlier than two years which is the current normal practice in hospitals. As a result of HIE early detection, then early interventions can be applied to improve the babies health.
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Electronics and computer science | Mathematical sciences | Art, design, media and fashion | Modern languages and linguistics
The evolution of written symbolic communication: the autonomous development of visual symbolic systems in artificial agents
This PhD project explores how artificial agents can autonomously develop symbolic communication systems, resembling human alphabets or logograms, purely through interaction. Building on previous studies in sketch-based communication, the project investigates how agents might evolve compact, meaningful symbols, potentially mirroring early human writing systems, that enable efficient exchange of information.
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Electronics and computer science
Advancing Artificial Medical Intelligence through Causal AI, Continual Learning, and Big Healthcare Data
This PhD project is part of a cutting-edge research initiative aimed at developing transformative AI solutions for healthcare by leveraging big data to address key challenges in causal inference, continual learning, and digital twin technology.
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Engineering | Electronics and computer science
Novel physical layer techniques for non-terrestrial networks
This project will develop novel techniques to enhance the physical layer performance of 5G non-terrestrial networks. In particular, Multiple Input Multiple Output (MIMO) techniques for exploiting inter-beam interference and for user-specific beamforming can be used for enhancing capacity and coverage. -
Electronics and computer science
Sustainable generative AI models
This project aims to pioneer advancements in the efficiency of Generative AI Models (GenAI), focusing on achieving lower latencies and smaller model sizes without compromising performance.