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We have 102 Computer Science PhD Research Projects PhD Projects, Programmes & Scholarships in London

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Computer Science

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London  United Kingdom

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Computer Science PhD Research Projects PhD Projects, Programmes & Scholarships in London

We have 102 Computer Science PhD Research Projects PhD Projects, Programmes & Scholarships in London

EPSRC Doctoral Training Partnership (DTP) scholarship - Can MIND networks derived from brain MRI shed fresh light on perinatal development?

Brain connectivity is central to neurodevelopment and later cognition and mental health (Morgan et al., BP:CNNI 2018). We recently proposed a new method to construct structural brain networks from MRI data, called Morphometric Inverse Divergence (MIND). Read more

Zero Trust Automation: Advancing Security with AI-based Intrusion Detection System

We are seeking an exceptional PhD candidate to join our cutting-edge research projects aimed at developing innovative solutions to enhance cyber security with deep learning-based continuous monitoring and response systems for real-time security incident detection and response in zero trust environments. Read more

Big Data Modelling the Knowledge Economy

Life would be much easier if organisations had a 3D map of the business landscape showing owners and entrepreneurs where best to go, how much they could benefit when they get there, as well as how much it would cost them along the way. Read more

Asynchronous virtual reality

Collaborating with others is an essential part of work and play, and digital platforms that facilitate remote collaboration are becoming ever more important. Read more

Design for early detection of symptoms of anxiety and depression in university students

Anxiety, depression, and psychological distress can have a severe impact on university student quality of life and academic performance, and recent studies have highlighted the role that the COVID-19 pandemic has played in exacerbating symptoms. Read more

Repurposing and enriching cardiovascular risk prediction model to identify people at risk of cancer – UCL (part of Health Data Research UK’s Big Data for Complex Disease Driver Programme)

Risk-stratified management of cardiovascular disease (CVD), where people without established disease receive preventative interventions and monitoring based on their 10-years predicted risk, has been highly successful to ensure healthcare resources are allocated to those most likely to benefit. Read more

Session types for safe distributed programming

Distributed systems and Internet applications are fundamental to modern computing and society. However, the development of safe, practical and efficient languages and techniques for distributed programming remains an open area of computer science research. Read more

Security and Privacy of Energy-Constraint Internet of Things Communication using Distributed AI

In recent years, the Internet of Things (IoT) has progressed dramatically due to advancements in technology. It plays an important role in the development of abundant applications and economic ventures. Read more

Quantum Machine Learning for Sustainable Energy Optimisation

We are seeking a highly motivated candidate to commence a PhD journey in the dynamic and rapidly growing field of quantum machine learning (QML), focusing on its application in energy system. Read more

Neuromorphic sensing and computing

Neuromorphic vision sensors enable the acquisition of scenes with limited energy requirements and low data rate, only acquiring information on what changes in the scene, with a behaviour similar to the one of the human eye. Read more

Mapping solar PV potential for existing buildings stocks in the UK by deep learning of satellite and aerial images data

Project Abstract. We are seeking an ambitious PhD candidate to join a cutting-edge research project aiming to map the solar photovoltaic (PV) potential for existing building stocks in the UK through the application of deep learning on satellite and aerial image data. Read more

Intelligent, Energy Efficient and Secure Tactile Communication using Federated Learning in 6G Network

In 5G, ultra-reliable low-latency communication has been a backbone for various applications that need an extremely low delay. However, further research will be required to minimize the round trip delay and improve energy efficiency and security of user data in the 6G network [1]. Read more

Image-based Recognition of Unidentified Featured Objects (UFOs)

With the development of deep learning approaches and convolutional neural networks (CNN) in particular, the task of recognising objects from an image has become associated with the ability to train a network using a large number of labelled images for each class of interest [He2016]. Read more

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