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🎓 Materials Science PhDs

Chemical recycling and life cycle assessment of next-generation thermoplastic composites for wind turbine blade manufacture
Loughborough University Dr Ignacio Martin-Fabiani, Dr Tanja Radu, Dr Fiona Hatton, Mr Gerry Boyce (Hive Composites) 🎓 Analytical Chemistry 🎓 Chemical Engineering

This fully-funded PhD addresses sustainability challenges in offshore wind by developing chemical recycling methods and life cycle assessment for next-generation thermoplastic composites used in turbine blades. The proj…

Rapid alloy discovery and characterisation of additively manufactured Type 316 stainless steel and its advanced variants
University of Southampton Dr Bo Chen 🎓 Artificial Intelligence 🎓 Data Analysis Deadline: 31 Mar 2026

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 …

Predicting clad defect propagation of Zr-based alloys under oxidising conditions during dry fuel store
The University of Manchester Dr P Frankel Prof Joel Turner Dr Mia Maric 🎓 Energy Technologies 🎓 Materials Science Deadline: 01 Sep 2026

This PhD investigates how defects in zirconium alloy cladding of spent nuclear fuel propagate under oxidising conditions during dry storage, using advanced materials characterisation techniques and industrial collaborat…

Modelling and design of sustainable fibre composites
University of Strathclyde Dr K Johnston 🎓 Chemical Engineering 🎓 Chemical Physics Deadline: 31 Mar 2026

Fibre composites are widely used in aerospace and wind turbines due to their light weight and high strength. This project will use coarse-grained modelling and molecular dynamics simulations to simulate network formatio…

Automating inspection of railway earthworks (Ref: RAINDROP-AB2)
Loughborough University Dr Ana Blanco 🎓 Civil Engineering 🎓 Geotechnical Engineering Deadline: 29 Mar 2026

This PhD project develops computer vision techniques to automate inspection of railway earthworks using imagery from asset inspections and drones, detecting defects such as cracking, erosion, and drainage problems. Inte…

IC-3-5 Molecular engineering of ion-conductive polymer membranes for advanced batteries
Imperial College London Prof. Paul Fennell Dr Qilei Song Prof. Magda Titirici Prof. Kim Jelfs 🎓 Chemical Engineering 🎓 Energy Technologies

Fully funded PhD at Imperial College London focusing on molecular engineering of ion-conductive polymer membranes for advanced lithium and sodium batteries. Combines polymer synthesis, electrochemistry, and transport mo…

Development of Solid-State Composites for Safe and Efficient Hydrogen Storage
The University of Manchester Peng Gong, Philip Withers, James Robson, David Knowles 🎓 Applied Chemistry 🎓 Chemical Engineering

PhD at the University of Manchester focused on developing advanced solid-state materials for hydrogen storage. Combines materials engineering and chemistry to improve storage efficiency, safety, and performance for clea…

The Self-Driving Microscope: Predicting Stochastic Failure in Solid-State Batteries using Physics-Informed AI (Ref: M34Impact-MSE2)
University of Greenwich London, United Kingdom Dr James Le Houx, Dr Andrew Kao, Dr Mikhail Poluektov 🎓 Computational Mathematics 🎓 Computational Physics Deadline: 17 Apr 2026

Funded PhD at the University of Greenwich developing physics-informed AI to predict failure in solid-state batteries using X-ray imaging, simulations, and generative models.

EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute
Henry Royce Institute Dr Lewis Owen, Prof Michael Shaver, Prof David Dye 🎓 Data Science 🎓 Engineering Deadline: 14 May 2026

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.

Developing charge-aware machine learning potential for electrochemical applications
Imperial College London Dr Jing Yang 🎓 Artificial Intelligence 🎓 Computational Chemistry Deadline: 31 Mar 2026

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.

2D-Transition Metal Dichalcogenide Nanoelectronic Devices for Neuromorphic Computing
University of Southampton Dr Ruomeng Huang 🎓 Artificial Intelligence 🎓 Electronic Engineering Deadline: 30 Apr 2026

This EPSRC-funded PhD will explore 2D transition metal dichalcogenide (TMDC) nanoelectronic devices for energy-efficient neuromorphic computing, combining nanofabrication, device physics, and advanced materials characte…

Degradation mechanisms of cement/steel-cement interfaces with novel cementitious materials in simulated Carbon Capture/Storage wellbore conditions
University of Leeds Dr Yuvaraj Dhandapani 🎓 Civil Engineering 🎓 Materials Science Deadline: 24 Apr 2026

This PhD investigates degradation mechanisms at cement/steel-cement interfaces in simulated carbon capture storage wellbore conditions, focusing on novel cementitious materials for enhanced chemical resistance and long-…