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🎓 Mechanical Engineering PhDs

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…

Fatigue Analysis of Riveted Connections using Advanced Numerical Models
University of Surrey Dr Boulent Imam Dr Yidu Bu 🎓 Aerospace Engineering 🎓 Automotive Engineering Deadline: 10 Apr 2026

This PhD project in collaboration with Network Rail focuses on developing next-generation finite element models for fatigue analysis of riveted railway bridges. The research aims to develop advanced calibrated numerical…

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…

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…

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…

Understanding evolving wildfire risk and resilience in Scotland
The University of Edinburgh Dr Zakary Campbell-Lochrie 🎓 Civil Engineering 🎓 Climate Science Deadline: 10 Apr 2026

Funded PhD at the University of Edinburgh investigating wildfire risk and resilience in Scotland using mixed methods, modelling, and stakeholder analysis.

Advancing Structured m-MOFs for Enhanced Carbon Capture and Removal in Industrial Applications - PhD
Cranfield University Dr A Nabavi 🎓 Bioengineering 🎓 Chemical Engineering Deadline: 06 May 2026

Fully funded PhD at Cranfield University on MOF-based carbon capture combining experimental work and CFD modelling to develop scalable industrial decarbonisation solutions.

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.

Fully Funded PhD Scholarship in ‘Control and Robotics’ in Mechanical Engineering
University of Galway Dr Panpan Zhou 🎓 AI & Embodied Intelligence 🎓 Control Theory Deadline: 15 Jun 2026

A fully funded PhD at the University of Galway on control and robotics, focusing on multi-agent systems, distributed optimization, game-theoretic control, and learning-based embodied intelligence.