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๐ŸŽ“ Artificial Intelligence PhDs

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.

PhD in Advancing Digital Solutions for Sustainable Metals Manufacturing with Innoval and DigitalMetal-CDT
Loughborough University Dr Simon Hogg ๐ŸŽ“ Artificial Intelligence ๐ŸŽ“ 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 innovโ€ฆ

Real-Time Vehicle Tracking for Smarter Transport Decisions
Aston University Dr Hing Yan Tong ๐ŸŽ“ Artificial Intelligence ๐ŸŽ“ Data Analytics Deadline: 01 Jun 2026

A fully funded PhD at Aston University leveraging vehicle tracking data to optimise transport operations, planning, and safety using AI and machine learning

Approximation of Constraint Satisfaction Problems
King's College London Dr Silvia Butti ๐ŸŽ“ Algorithms ๐ŸŽ“ Artificial Intelligence Deadline: 24 Apr 2026

A fully funded PhD project at Kingโ€™s College London on approximation approaches to constraint satisfaction problems, exploring sub-optimal solutions, max-CSP, and Promise CSPs.

British Heart Foundation Imperial-Oxford 4-year Multidisciplinary PhD Program 2026: Technology and data-driven solutions for effective prediction, prevention and management of cardiovascular disease
Imperial College London Prof. Fu Siong Ng ๐ŸŽ“ Artificial Intelligence ๐ŸŽ“ Biomedical Engineering Deadline: 29 Mar 2026

Call for applications for the 4-year British Heart Foundation Imperial-Oxford PhD studentships (October 2026) on technology and data-driven solutions for prediction, prevention, and management of cardiovascular disease.