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We have 83 Machine Learning PhD Projects, Programmes & Scholarships in Southampton

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Computer Science

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Southampton  United Kingdom

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Machine Learning PhD Projects, Programmes & Scholarships in Southampton

We have 83 Machine Learning PhD Projects, Programmes & Scholarships in Southampton

Privacy/Security Risks in Machine/Federated Learning systems

  Research Group: Cyber Security
Supervisory Team: Dr Han Wu. Project description. In the wake of growing data privacy concerns and the enactment of the GDPR, Federated Learning (FL) has emerged as a leading privacy-preserving technology in Machine Learning. Read more

Machine Learning Algorithm-Based Inverse Design of Metasurfaces

This PhD project aims to develop machine learning algorithms for the inverse design of metasurfaces, targeting applications in intelligent sensing for complex environments, such as biomedical fields and consumer electronics. Read more

Machine Learning on Health Data from Wearables

Supervisory Team. Dr Zhiwu Huang, Dr Kate Farrahi. This PhD project focuses on developing advanced machine learning methods to transform wearable biosignal data, like heart rate, activity levels, and sleep patterns, into actionable health insights. Read more

Fusion of distributed and point acoustic sensing with physics-enhanced machine learning for remote monitoring of strategic energy assets

This project aims to leverage the advances in ultrasonic testing, including optical fibre-based distributed acoustic sensing and physics-enhanced machine learning, to increase the reliability of nuclear waste storage monitoring. . Read more

Physics inspired quantum machine learning methods for inverse problems

  Research Group: ISVR: Signal Processing and Control
In this project, you will develop and evaluate novel quantum machine learning approaches to solve large scale inverse problems using near term quantum computing systems. . Read more

Machine Learning models for subgrid scales in turbulent reacting flows

  Research Group: Aerodynamics and Flight Mechanics
This PhD project advances deep learning for turbulence modeling in combustion. Using CNNs and GANs, it tackles challenges in data demands and generalization. Read more

Quantifying Uncertainty in Machine Learning Methods of Early Diagnosis of Neurodegenerative Diseases

Vast amounts of data relating to genetic, molecular, imaging and spectroscopy methods relating to neurodegenerative diseases is becoming available, posing the challenge of early diagnosis and developing a better understanding of their origin and spread along neural connections. Read more

Deep equilibrium machine learning models for the efficient reconstruction of X-ray tomographic images

Supervisory Team. Prof Thomas Blumensath, Dr Richard Boardman. Machine learning has revolutionised many scientific fields over recently years and has become an increasingly useful tools in a wide range of image processing applications; including in X-ray tomography. Read more

Machine Learning to Build Trustworthy Robot Swarms

Supervisory Team: Mohammad Soorati. Project description. We are seeking a PhD candidate to join our cutting-edge research team (visit sooratilab.com) focused on advancing the trustworthiness and usability of multi-robot systems, particularly in the context of swarm robotics. Read more

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. Read more

Blockchain-Empowered Federated Learning

Supervisory Team: Leonardo Aniello, Han Wu. Project description. Blockchain and Federated Learning (FL) are two emerging technologies that, when combined, offer a powerful framework for decentralised machine learning. Read more

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