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We have 50 Artificial Intelligence (simulation) PhD Projects, Programmes & Scholarships

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Artificial Intelligence (simulation) PhD Projects, Programmes & Scholarships

We have 50 Artificial Intelligence (simulation) PhD Projects, Programmes & Scholarships

Design and Simulation of Adaptive Product-Service System for Distributed Manufacturing

Product-service systems (PSS) aim to deliver value-in-use through integrated product and service solutions. Underpinned by sustainability research, PSS intend to produce a balanced approach to production and consumption. Read more

Simulation-based Quantum Machine Learning for Advancing Cyber Security

This PhD project offers a unique opportunity to contribute to the intersection of quantum computing, AI, and cybersecurity. The research outcomes could redefine the landscape of Network Intrusion Detection Systems (NIDSs), paving the way for Zero Trust automation. Read more

Situation Coverage Testing in Simulation for Mobile Robots

As part of the Assuring International Programme we are developing a mobile robot to demonstrate our safety engineering guidance, in particular our top-level safety guidance (SACE) and our machine learning safety guidance (AMLAS). Read more

AI-Driven Digital Cities for Crime Modeling and Economic Analysis

AI-Driven Digital Cities for Crime Modeling and Economic Analysis. Project description. The project aims to develop a methodology for designing AI-driven digital twins of real cities. Read more

Language Model-Grounded User Simulation for Personalised Conversational Systems

This PhD project aims to advance the development of personalised conversational systems by leveraging user simulation, an area of research supported by recent advancements in large language models known for their strong capability in natural language understanding and generation. Read more

4-year PhD Studentship: Towards Accurate Disease Surveillance: Deep Learning-Assisted Simulation of Bacterial Genomes

Public health surveillance programmes routinely collect vast amounts of pathogen genomics data each year. A pressing issue is how to best utilise this information for effective disease monitoring and management. Read more

Predicting drug solubility in different solvents using molecular simulation and machine learning

Predicting the solubility of complex drug-like molecules is crucial at several stages of the drug discovery and manufacture. In particular, solvent selection has been highlighted as a crucial step in process design and optimisation [1]. Read more

Quantum Machine Learning for Sustainable Energy Optimisation

We are seeking a highly motivated candidate to commence a PhD journey in the dynamic and rapidly growing field of quantum machine learning (QML), focusing on its application in energy system. Read more

AI enhanced 3D human body shape estimation and garment redressing from clothed 3D scan sequences

UK fashion retailers, particularly in online retail, have long struggled with the cost of returns. To reduce the number of returns in the fashion industry, 3D body scanning technology is a trend to build digital twins for customers, which makes it possible to fit garments remotely. Read more

Intelligent Techniques for Reliability Prediction and Improvement of Free-Space Optics-based Future Satellite Communication Systems

  Research Group: Bradford-Renduchintala Centre for Space AI
Satellite communications play a pivotal role in our modern world, driving global efforts towards the development of next-generation satellite communication systems. Read more

Advanced Networking Techniques for Quantum Space-Aerial-Terrestrial Integrated Networks

  Research Group: Bradford-Renduchintala Centre for Space AI
In beyond 5G and 6G communication networks, the need for robust security systems is paramount to securely store and share vast amounts of data globally. Read more

An optimal framework for disease risk prediction and stratification for multi-ethnic populations (ref: SF22/HLS/APP/Chimusa)

The exceptional polygenicity of human traits makes unravelling mechanisms from disease risk prediction models daunting. The development of polygenic risk scores (PRS) methods, their evaluation and clinical utility have been explored almost in European ancestry Genome-Wide Association Studies (GWAS) data sets. Read more

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