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🎓 Manufacturing Engineering PhDs

Rapid 3D Printing of Multi-Material Critical Defence Components
University of Southampton Prof Pedro Rivera 🎓 Manufacturing Engineering 🎓 Mathematical Modelling Deadline: 20 Apr 2026

Investigate multi-material metal additive manufacturing to enable rapid single shot printing of defence components. Combine computational modeling, experimental testing, and machine learning to overcome alloy joining ch…

This research will enhance the UK’s capacity to rapidly manufacture critical defence components with complex multi-material architectures, …

10031+ citations · h62
Alloy and microstructure design
Rapid Alloy Discovery and Characterisation of Additively Manufactured Type 316 Stainless Steel and Its Advanced Variants
University of Southampton Prof Bo Chen 🎓 Manufacturing Engineering 🎓 Materials Science Deadline: 31 Mar 2026

Explore how AI and automation can revolutionize alloy development for additive manufacturing. Integrate computational screening with 3D printing and automated testing to accelerate materials innovation.

This research accelerates new structural alloy development essential for advancing additive manufacturing technologies. By enabling rapid, …

Alloy Design Additive Manufacturing Machine Learning Materials Characterisation
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…

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 …

Optimisation of thermomechanical ageing processing: influence of quenching and pre-ageing on the performance of high strength 6xxx aluminium alloys
The University of Manchester Prof X Zhou 🎓 Applied Chemistry 🎓 Chemical Physics Deadline: 10 Apr 2026

This PhD investigates the optimisation of thermomechanical ageing in high-strength 6xxx aluminium alloys, focusing on quenching and pre-ageing effects on microstructure, mechanical performance, and corrosion resistance,…

Engineering Additive Manufacturing Processes for the Design and Fabrication of Resilient Fusion Reactor Components
University of Bristol Dr Kai Zhang 🎓 Aerospace Engineering 🎓 Automotive Engineering

This PhD focuses on engineering additive manufacturing (AM) processes to design and fabricate resilient fusion reactor components, delivering scalable, high-integrity, and reliable systems in collaboration with industri…

Improving Defect Detection Reliability in Ultrasonic Testing through Artificial Intelligence
University of Strathclyde Dr Ehsan Mohseni, Dr Randika Vithanage 🎓 Acoustics 🎓 Applied Mathematics

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…

Smart Manufacturing and Digital Twin Modelling for Remanufacturing Systems (PhD Funded)
The University of Exeter Dr Malarvizhi Kaniappan Chinnathai 🎓 Data Analysis 🎓 Manufacturing Engineering Deadline: 14 Apr 2026

Fully funded PhD at University of Exeter developing digital twin and simulation frameworks for smart remanufacturing systems. Focuses on uncertainty modelling, decision support, and improving sustainability and efficien…

Intelligent X-ray computed tomography scanning for advanced manufacturing
University of Southampton Joseph Lifton 🎓 Aerospace Engineering 🎓 Automotive Engineering Deadline: 07 Jun 2026

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…