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Data Science PhD Research Projects
We have 297 Data Science PhD Research Projects
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Using neural networks and clustering algorithms to understand the mass flows and energy cycles at the heart of our Galaxy
The inner few thousand light years of the Milky Way – the Central Molecular Zone (CMZ) – hosts the nearest supermassive black hole, largest reservoir of dense gas, most massive/dense stellar clusters, and highest volume density of supernovae in the Galaxy. Read more
How do supermassive black holes affect their host galaxies?
Supermassive black holes are capable of injecting vast amounts of energy into their surroundings via relativistic jets and radiation-driven winds. Read more
Structural Health Monitoring for Maintaining Aging Civil Infrastructure
EPSRC DTP CASE studentship in Engineering with MISTRAS Group Ltd. Lead supervisor Dr Matthew Pearson. Duration 4 years full time 7 years part time. Read more
Integrating Sub-symbolic and Symbolic Reasoning for Value Alignment
An important long-term concern regarding the ethical impact of AI is the so called ‘value alignment problem’; that is, how to ensure that the decisions of autonomous AIs are aligned with human values. Read more
Learning and deploying safe and trustworthy models of data provenance
Our modern lives are increasingly governed by ubiquitous AI systems and an abundance of digital data. More and more products and services are providing us with better tools and recommendations for our professional, personal, and entertainment activities. Read more
Generative modelling with neural probabilistic circuits
The current state of the art in generative modelling is dominated by neural networks. Despite their impressive performance on many benchmark tasks, these algorithms do not provide tractable inference for common and important queries, e.g. Read more
Fully-funded PhD scholarship in complex systems and simulation
Background. A “complex” system is one in which cause and effect can be hard to determine. Read more
Developing the next generation of pedestrian behaviour models for revival of high streets and sustainable transport [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Modelling the behaviour of pedestrians in city centres is of practical importance not only for sustainable transport (reducing reliance on motor vehicles addresses issues of carbon emissions, congestion and health) but also can help inform planning for town centres in a post-COVID world. Read more
Developing a translational clinical interface for using RNA sequencing data in the evaluation of prospective tuberculosis (TB) risk
This project aims to translate a complex transcriptomics-driven risk prediction model for tuberculosis (TB) into a tool which can be used in clinical practice. Read more
Artificial Intelligence for Air Pollution
Air pollution is one of the major environmental causes of human illnesses, premature deaths, and the climate change phenomenon worldwide. Read more
Advanced Maintenance Management of Offshore Renewable Energy Systems
Research Group:
Communication and Networks
Renewable energy plays an importance role in the road to net-zero greenhouse gas emissions, limiting the global temperature increase by up to 1.5°C by 2050. Read more
Railway rolling stock fleet data analytics towards reliability and performance prediction
PROJECT REFERENCE NUMBER. Please select/refer to project number SCEBE/22Stu/Alkali in your application, selection list or in any email correspondence. Read more
Exploring river-induced stagnation as a novel driver of coastal hypoxia in the tropics
In this exciting and novel PhD project, you’ll assess the role of large rivers to promote marine hypoxia in a Caribbean Bay. Ocean deoxygenation is an increasing problem in coastal waters around the world. Read more
Uncovering the relationship between commuting, mental health and income in the UK and its geographical underpinnings
The increasing availability of transport gives us an unprecedented degree of flexibility regarding the locations where we live and work. Read more
Geometric superpixel clustering and segmentation
Are you familiar with machine learning? Do you have a solid mathematical background and a keen interest in image processing? Are you interested in pushing the boundaries of mathematical and computational research?. Read more