🎓 Artificial Intelligence PhDs

Develop an AI-based privacy-preserving framework for sharing threat intelligence and coordinating responses to online harms and crypto crimes. Explore federated learning and secure analytics to enable cross-sector colla…

This research enables faster, coordinated action against online harms and crypto-enabled criminal activities by securely sharing actionable…

Explore the use of Generative AI to improve disaster response through better information management and ethical adoption. Develop frameworks to ensure AI supports humanitarian goals without compromising privacy or accur…

This research will provide vital insights and practical tools to enable humanitarian organisations to responsibly use Generative AI, enhanc…

Explore how enterprises can overcome the common pitfalls of AI pilot projects and embed AI widely across functions. Identify strategic, operational, and behavioral enablers to manage AI scaling risks and deliver measura…

This research tackles the high failure rate of enterprise AI initiatives by addressing the socio-technical and governance challenges that i…

Explore advanced compression methods for massive XCT data to reduce storage needs by up to 80% without losing vital scientific detail. Develop predictive models exploiting XCT data redundancy within an open-source frame…

This project addresses the critical challenge of managing enormous volumes of XCT data, which currently pose storage, transmission, and arc…

Investigate autonomous AI-driven battery systems that optimize multi-energy market participation. Develop novel algorithms integrating AI with advanced battery models to enhance grid flexibility and decarbonization. Cre…

This research enables the development of flexible, intelligent battery systems critical for integrating increasing renewables into energy g…

Develop and apply hierarchical Bayesian networks to assess and quantify errors in proteomic data analysis. Build scalable tools improving protein identification accuracy and fostering more reliable biological insights.

This research improves the accuracy and reliability of proteomics data, essential for biological and biomedical studies that rely on mass s…

Explore developing autonomous fault diagnosis and self-healing systems for large-scale heterogeneous IoT networks. Apply advanced AI techniques such as federated learning and graph neural networks combined with blockcha…

This research addresses critical challenges in ensuring reliability and autonomous fault recovery in large, heterogeneous IoT networks, vit…

Develop a novel physics-informed, data-driven model to predict power electronics reliability in net-zero applications. Integrate multi-modal data for real-time health monitoring to enable early failure detection and imp…

Accurately predicting the reliability of power electronics is critical for reducing failures in net-zero energy systems such as electrified…

Explore how emergent technologies like IoT and Generative AI can enhance sustainable production within community-focused maker spaces. Investigate how decentralized fabrication hubs can empower independent makers and st…

This research offers real-world impact by supporting communities to develop localized, sustainable manufacturing alternatives to traditiona…

Explore the atomic-scale structure of materials by developing integrated tools that simplify total scattering data analysis. Use machine learning and collaborate with national UK facilities to push boundaries in metallu…

Materials properties such as radiation tolerance, electrical conductivity, and mechanical strength depend on local atomic arrangements. Thi…

Investigate the role temperature gradients play in hydrogen diffusion within nuclear fuel cladding. Develop advanced experimental and machine learning approaches to build digital twins capturing hydrogen transport and e…

This research addresses critical gaps in understanding hydrogen transport mechanisms that govern embrittlement in nuclear fuel cladding. By…

Explore AI-driven solutions to improve transport resilience during floods in urban river basins. Develop adaptive plans integrating flood data and local insights to enhance equitable evacuation strategies and reduce dis…

This research tackles real-world mobility challenges caused by flooding, which disrupts access to services and disproportionately affects v…