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We have 48 University of Southampton Artificial Intelligence PhD Projects, Programmes & Scholarships

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University of Southampton Artificial Intelligence PhD Projects, Programmes & Scholarships

We have 48 University of Southampton Artificial Intelligence PhD Projects, Programmes & Scholarships

SustAI CDT - The URKI AI Centre Doctoral Training in AI for Sustainability is now recruiting for September 2024

Environmental sustainability is one of the greatest challenges the world is facing, with many organisations and countries including the UK setting ambitious targets to reduce emissions and waste and increase renewable energy production. Read more

Large area 2D semiconductor platforms

Project description. Revolutionising the semiconductor industry with next generation 2D materials and devices. Moore’s Law is currently being challenged with Nvidia CEO recently claiming it is over. Read more

Privacy Attacks and Defences in Federated Learning systems

  Research Group: Cyber Security
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

Biometric deepfake to physical attack instrument assessment

Deepfake technologies have increased the challenges to biometric systems. Generative AI tools are rapidly advancing, enabling the creation of media tuned to descriptive parameters that can be used within injection attacks, where data are presented to the algorithm in an electronic/media format. Read more

xAI for Biometrics – Legal Presentation of Data

Increasingly AI-based biometric technologies, such as facial recognition and voice biometrics, are playing a major role in assisting public authorities to protect the public, reduce serious crime, and help safeguard vulnerable persons. Read more

Quantifying Discretisation Error in Climate Models

A significant challenge in climate models is discretisation error. even on cutting-edge hardware it is impossible to use fine enough discretisations to resolve underlying physics, which can have a significant impact on modelling results. Read more

Understanding Deep Learning

Supervisory Team. Antonia Marcu, Jonathon Hare. Project description. Deep Learning (DL) is a widely successful tool. However, there are many fundamental challenges left to solve in DL. Read more

AI Powered Personalized Virtual Heart Modelling

Supervisory Team: Dr Lei Li, Prof. Age Chapman. Project description. In this unique PhD project, we aim to develop advanced AI models for creating cardiac digital twins, i.e., virtual heart models. Read more

Learning for Control: Enabling Efficient Networked Autonomous Systems

Supervisory Team: Konstantinos Gatsis . Project description. There is an ongoing transformation in engineering autonomous systems that aim to achieve complex objectives with limited human intervention in applications such as robotics, self-driving cars, and industrial systems. Read more

Novel Generative Adversarial Networks for Rapid Engineering Design

Supervisory Team: Dr. David Toal. Project description. Conditional Generative Adversarial Networks (cGANs) have gained notoriety in the media for their ability to create so-called “deep fakes” but their power can also be harnessed to provide predictions of optimal engineering designs. Read more

Using machine learning to evaluate atomic force microscopy nanoindentation data

The University of Southampton is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer biopsies. Read more

Topological Metamaterials for Optical Wave Control

Supervisory Team: Dongyang Wang, Nikolay Zheludev . Project Description. The Project. Topological photonics is a rising field of research that implements topological ideas with optical materials. Read more

Design of Printable Nickel-based Superalloys for High Temperature Application

Supervisory Team: Professor Pedro Rivera and Professor Philippa Reed . Project Description. Superalloys are a class of advanced materials able to withstand very high temperatures and corrosive environments. Read more

Multimodal Large Language Models for Audio-aware Argument Extraction

Supervisory Team. Dr Rafael Mestre, Dr Stuart E. Middleton, Dr Matt Ryan. Project description. For any democratic society, access to news and engaging in online debate are critical for the public to shape opinions and make informed decisions. Read more

Data centric modelling of adhesive wear

Supervisory Team:  Robert Wood, Jo Grundy and Dave Stewart (RRSL).  Project description. The occurrence of adhesive wear between sliding surfaces can cause high friction, vibration, material transfer between surfaces and even seizure of components. Read more

Gesture-Agnostic Radar-Based Hand Tracking for VR/AR Systems

Supervisory Team:  Dr Shelly Vishwakarma. Project description. Virtual reality (VR) and augmented reality (AR) are rapidly becoming integral to our digital experiences, necessitating the need for interfaces that are both non-intrusive and safeguard user privacy. Read more

Cutting-edge microphone arrays for improving smart device performance in adverse environments

PhD Supervisor. Jiahong Zhao. Project description. This project aims to explore the design of an alternative class of microphone arrays, so-called co-prime microphone arrays, for recording and processing speech in adverse environments. Read more

Leveraging plant biomechanics under hostile environments

Supervisory Team:  Dr Siul Ruiz, Dr Sharif Ahmed, Dr James Le Houx, Prof Tiina Roose. Project description. The UK food-related activities contribute to a staggering quarter of a trillion pounds (>10% of UK GDP in 2022). Read more

https://www.jobs.ac.uk/job/DEZ391

Supervisory Team:   Dr Yongmin Jung and Dr Ali Masoudi. Project description. This is an unparallel opportunity to redefine the landscape of distributed sensing systems and contribute to groundbreaking developments in healthcare, environment monitoring, and beyond. Read more

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