Current research degree projects
Explore our current postgraduate research degree and PhD opportunities.
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195 research degree projects
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Electronics and computer science
Transparency of data collection and sharing in Internet-connected vehicles
Vehicles are becoming sensor-rich, collecting and sharing data about the drivers and passengers. This project aims to explore the drivers' and the passengers' awareness, expectations, and needs for in-vehicle data collection and sharing, identify the gap between their perceptions and vehicles' actual implementation, and develop more privacy-respectful systems. -
Engineering | Mathematical sciences | Electronics and computer science | Medicine
Modelling and identification of cerebral blood flow control
The project focuses on understanding cerebral blood flow and its physiological control, to improve diagnosis and treatment of brain injuries. The project will adopt a control and system identification approach, and will benefit from the use of real data, clinical collaborations, and links with the international research network CARNet. -
Electronics and computer science | Engineering | Mathematical sciences
Theoretical studies of corona induced noise in overhead transmission lines
This project will consider a complex set of plasma chemical reactions and physical processes taking place in wet, low pressure air discharges and the noise as well as an erosion associated with corona discharges in electric power equipment. -
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. -
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. -
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. -
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. -
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. -
Electronics and computer science
Explaining multi-agent systems
The aim of this PhD project is to explain the behaviour of a swarm using generative imitation learning.