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We have 68 Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK) in Southampton

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Computer Science

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Southampton  United Kingdom

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I am a European student


Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK) in Southampton

We have 68 Artificial Intelligence PhD Projects, Programmes & Scholarships for European Students (exc UK) in Southampton

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

Ethical Alignment in Citizen-Centric AI

Co-Supervisors. Professor Sebastian Stein, Dr Jayati Deshmukh. Interested in building trustworthy and responsible AI? Then join us at the University of Southampton to incorporate ethics into AI and build models and systems which can act in alignment with the ethical preferences of their users. Read more

AI for Sustainability Policy Appraisal

PhD opportunity to advance AI-driven sustainability policy. Analyse energy usage data to design adaptive incentives and effective policies promoting green energy adoption. Read more

SustAI CDT - The URKI AI Centre Doctoral Training in AI for Sustainability is now recruiting for September 2025

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

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

Novel Phase Change Materials for integrated photonics

Enabling integrated and free space photonics with advanced reprogrammable materials. The current increase in data generation is expected to reach unsustainable rates by the end of the decade. 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

Decolonizing AI: Building Culturally Aware Multimodal AI

Building upon the NVIDIA-funded project, this project tackles the critical challenge of cultural bias in Vision-Language Models (VLMs). Current VLMs often perpetuate harmful stereotypes due to their training data. Read more

Optoelectronic nanodevices for sustainable AI hardware

AI is entering our everyday lives at an enormously growing pace but at a huge environmental cost. The energy required to run the AI algorithms that are used, for example, for image generation consume large amounts of energy. Read more

ACE: AI-supported Circular Economy

Supervisory Team. Vahid Yazdanpanah; Hector Calvo-Pardo. The AI-Supported Circular Economy (ACE) PhD project advances sustainable practices in the circular economy through the innovative application of state-of-the-art AI methods. Read more

Large Language Models for Habitat and Environmental Impact Event Extraction with Location Refinement

Monitoring risks to natural habitats is a critical element for protecting and sustaining biodiversity. Pollution, wildfire, flooding, appearance of invasive species and other habitat changing events are highly localized and difficult to monitor manually. Read more

Novel Fluidic Topology Optimisation Methods For Gas Turbine Design

Hosted within the Rolls-Royce UTC for Computational Engineering, the following project aims to develop novel fluidic topology optimisation approaches for gas turbine component design by leveraging cutting edge machine/deep learning methods and computational fluid dynamics with the aim of revolutionising the solution of aerodynamic design problems. Read more

AI-Enhanced Fluid-Structure Modelling to Aid Maritime Decarbonization

Supervisory Team: Dr Kang Ren, Professor Stephen Turnock, Professor Dominic Hudson. The marine/maritime sectors urgently require green energy solutions and effective decarbonization strategies. Read more

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