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🎓 Polymers PhDs

Tailoring Carbohydrate-Derived Polymers for High-Performance, Microplastic-Free Agricultural Coatings
University of Bath Dr Hannah Leese, Dr Maciek Kopeć, Prof Chris Chuck 🎓 Agricultural Sciences 🎓 Biotechnology Deadline: 30 Apr 2026

Fully funded PhD at the University of Bath developing biodegradable, microplastic-free polymer coatings for agricultural seeds using carbohydrate-derived materials.

Digital Twinning for Smart Resin Infusion and Curing in Wind Turbine Blades via Embedded Fibre Optic Sensors and Physics-Informed Machine Learning
University of Hull Prof James Gilbert (University of Hull), Dr Hatice Sas (University of Sheffield) 🎓 Artificial Intelligence 🎓 Computational Mathematics

This fully-funded PhD develops a digital twin of the resin infusion and curing process in wind turbine blade manufacturing using embedded fibre optic sensors and physics-informed machine learning. The project aims to pr…

Nanoparticle-reinforced coatings for leading edge protection of offshore wind turbine blades
Loughborough University Dr Sina Saremi-Yarahmadi, Dr Daniel Butcher, Prof Robert Dorrell, Mr Adam Nevin (Trelleborg) 🎓 Ceramics 🎓 Chemical Engineering

This fully-funded PhD focuses on developing advanced nanoparticle-reinforced polyurethane coatings to protect offshore wind turbine blades from erosion and environmental degradation. The project combines materials engin…

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…

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.