🎓 Machine Learning PhDs
This PhD accelerates alloy discovery for additive manufacturing using AI-assisted workflows, 3D-printed compositional libraries, and high-throughput characterisation to develop advanced Type 316 stainless steel and its …
This PhD project addresses the challenge of data interpretation in Phased Array Ultrasonic Testing (PAUT) by investigating how Artificial Intelligence (AI) and Machine Learning (ML) can improve the reliability and consi…
PhD project at the University of Auckland applying deep learning to cardiac CT and MRI analysis. Focuses on segmentation, disease modelling, and biomarker extraction to improve diagnosis and clinical decision-making in …
Funded CDT PhD at University of Leeds using machine learning to optimise corrosion inhibitor formulations for CO₂-rich environments. Combines AI, fluidic high-throughput testing, and corrosion science to improve energy …
Funded PhD at University of Southampton developing on-chip topological photonic crystals on silicon for applications in imaging, sensing, and computing. Combines theoretical modelling, simulation, and cleanroom fabricat…
Fully funded PhD at University of Southampton developing next-generation in-network computing for 6G networks. Focuses on programmable networking, distributed computing, and scalable low-latency architectures for edge-c…
Industry-linked PhD at the University of Manchester with Honda Research Institute Europe, developing machine learning methods for high-dimensional multi-objective optimisation in complex systems like EV energy networks.
Funded PhD at the University of Southampton developing AI-driven X-ray CT scanning strategies for complex engineering components. Combines robotics, simulation, and image processing to improve non-destructive inspection…
Fully funded EPSRC CDT in Materials 4.0 offering interdisciplinary PhD training in digital materials science, including machine learning, robotics, and data-driven approaches across leading UK universities.
Fully funded 4-year PhD at Southampton’s SustAI CDT with G-Research support, focusing on AI, data science, and sustainability, with strong industry mentorship and training opportunities.
This PhD focuses on developing charge-aware machine learning interatomic potentials for electrochemical applications, enabling accurate modelling of electrocatalytic systems with long-range electrostatic interactions.
A 4-year PhD at Loughborough University with DigitalMetal-CDT and Innoval to evaluate and enhance digital tools for sustainable metals manufacturing, combining modelling, data analytics, and sustainability-focused innov…