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๐ŸŽ“ Software Engineering PhDs

Large Deformation Numerical Modelling of Drag Embedment Anchors for Floating Offshore Wind
Durham University Prof William Coombs, Prof Charles Augarde, Dr Alessandro Leonardi, Dr Robert Bird ๐ŸŽ“ Civil Engineering ๐ŸŽ“ Geotechnical Engineering

This PhD develops advanced numerical models to simulate large deformation behaviour of drag embedment anchors (DEAs) used for floating offshore wind turbines, focusing on installation, post-installation performance, andโ€ฆ

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) ๐ŸŽ“ Artificial Intelligence ๐ŸŽ“ 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 prโ€ฆ

Sustainable Cybersecurity Framework for Operational Technology Protocols (CS2-FES-01-23)
University of Greenwich London, United Kingdom Dr Sadiq Sani Prof Georgios Loukas Dr Georgia Sakellari ๐ŸŽ“ Control Systems ๐ŸŽ“ Cyber Security Deadline: 30 Apr 2026

This PhD project focuses on developing a sustainable cybersecurity framework for Operational Technology protocols, addressing security weaknesses through systematic methodologies, adversarial analysis, and lightweight cโ€ฆ

Deep learning for cardiac medical image analysis
The University of Auckland Dr J Zhao ๐ŸŽ“ Artificial Intelligence ๐ŸŽ“ Biomedical Engineering Deadline: 19 Aug 2026

PhD project at the University of Auckland applying deep learning to cardiac CT and MRI analysis. Focuses on segmentation, disease modelling, and biomarker extraction to improve diagnosis and clinical decision-making in โ€ฆ

Mitigating Synthesisability Loss in 3D Generative Models
University of Liverpool Dr Anthony Bradley, Dr Gabriella Pizzuto, Dr John Ward ๐ŸŽ“ Artificial Intelligence ๐ŸŽ“ 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.