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🎓 Materials Science PhDs

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-…

Mitigating Synthesisability Loss in 3D Generative Models
University of Liverpool Dr Anthony Bradley, Dr Gabriella Pizzuto, Dr John Ward 🎓 Artificial Intelligence 🎓 Computational Chemistry Deadline: 30 Jun 2026

This PhD will combine 3D generative modelling, structural informatics, and chemical insight to tackle a central challenge in modern drug discovery, training researchers at the interface of AI, synthesis, and automation.

PhD on Fatigue and Fracture Characterisation of 3D-woven Textile Composites sponsored by Rolls-Royce
University of Bristol Prof Janice Barton 🎓 Engineering 🎓 Manufacturing Engineering Deadline: 17 Apr 2026

PhD on Fatigue and Fracture Characterisation of 3D-woven Textile Composites sponsored by Rolls-Royce. Research focuses on understanding failure behaviour and developing techniques to improve sustainable lightweight stru…

PhD in Advancing Digital Solutions for Sustainable Metals Manufacturing with Innoval and DigitalMetal-CDT
Loughborough University Dr Simon Hogg 🎓 Artificial Intelligence 🎓 Computer Science Deadline: 31 Mar 2026

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…

Steel recycling in a circular economy: modelling future scrap flows, quality, and technologies for improving electric arc furnace steelmaking (UK/US/EU)
University College London Dr Lukas Gast 🎓 Built Environment 🎓 Energy Technologies Deadline: 19 Jun 2026

A fully funded 3.5-year PhD at UCL investigating steel recycling, scrap quality, and recycling technologies to improve electric arc furnace steelmaking in UK, US, and EU contexts.