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We have 642 ai PhD Projects, Programmes & Scholarships

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ai PhD Projects, Programmes & Scholarships

We have 642 ai PhD Projects, Programmes & Scholarships

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Cross-sectoral problem-solving in construction 4.0: bridging the gap between technology development and implementation

The advent of Construction 4.0, characterised by the integration of AI, robotics, and digital technologies, has significantly transformed the construction industry. Read more
 Supervisors: Dr R Dowsett, Dr L Maftei
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Last chance to apply

Multi-Fidelity Digital Twins and Machine Learning for the Scale-Up of Flow Processes (Ref: SF-JO-2026/4)

The ‘what’. This PhD will develop multi-fidelity digital twin frameworks, integrating physics-based models and machine learning, to enable reliable scale-up of flow processes (e.g. Read more
 Supervisor: Dr J Oyekan
 31 July 2026  PhD Research Project  Self-Funded PhD Students Only
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Reinforcement Learning Swarm Systems for Autonomous Manufacturing in Unstructured Environments (Ref: SF-JO-2026/3)

The ‘what’. This PhD will develop reinforcement learning-driven swarm robotic systems that enable multiple robots to collaborate autonomously in unstructured and dynamic manufacturing environments. Read more
 Supervisor: Dr J Oyekan
 31 October 2026  PhD Research Project  Self-Funded PhD Students Only
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Agentic, Federated and Explainable Cybersecurity for 6G-Enabled Connected Autonomous Vehicles

Connected and Autonomous Vehicles (CAVs) operating over emerging 6G networks rely on tightly coupled sensing, control, and vehicle-to-everything (V2X) communication. Read more
 Supervisor: Dr Z Pooranian
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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University of Liverpool and Liverpool John Moores University PhD opportunities in Net Zero Maritime Energy Solutions (N0MES)

The N0MES CDT is a partnership between the University of Liverpool and Liverpool John Moores University and is supported by EPSRC and over 30 maritime focused partners. Read more
 Funded PhD Programme (Students Worldwide)  EPSRC Centre for Doctoral Training
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University of Liverpool and Liverpool John Moores University PhD opportunities in Net Zero Maritime Energy Solutions (N0MES)

The N0MES CDT is a partnership between the University of Liverpool and Liverpool John Moores University and is supported by EPSRC and over 30 maritime focused partners. Read more
 Funded PhD Programme (Students Worldwide)  EPSRC Centre for Doctoral Training
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Decision Tree Induction from Small Language Models for Black-Box LLM Adaptation

  Research Group: Artificial Intelligence and Data Analytics
Project Description. Flagship black-box large language models (LLMs) such as GPT-5 and Gemini-3 perform well across a wide range of tasks, including those that require reasoning or generating explanations. Read more
 Supervisors: Dr N Kumar, Prof S Schockaert
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Intelligent, low-power, and networked biodiversity monitoring device

Project Description. Note. Read more
 Supervisors: Dr J Beuchert, Dr NP Pham
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Using machine learning to model complex biological interactions

Supervisory Team. Dr Mohammad Soorati and Prof Stephen Beers. This project aims to build an AI-driven system that analyses live-cell microscopy videos showing how immune cells attack cancer cells. Read more
 Supervisor: Dr M Soorati
 Year round applications  PhD Research Project  Competition Funded PhD Project (UK Students Only)
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Multi-Language Statistical Classification of Natural and Computer-Generated Texts

This project concerns the statistics of written documents, whose properties are analogous to those of other type-token systems such as city populations, personal incomes and galactic superclusters. Read more
 Supervisor: Dr M Tunnicliffe
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Mapping solar PV potential for existing buildings stocks in the UK by deep learning of satellite and aerial images data

Project Abstract. We are seeking an ambitious PhD candidate to join a cutting-edge research project aiming to map the solar photovoltaic (PV) potential for existing building stocks in the UK through the application of deep learning on satellite and aerial image data. Read more
 Supervisor: Dr J Deng
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Deep learning for cardiac medical image analysis

We are seeking a highly motivated PhD student to join an exciting interdisciplinary project focused on artificial intelligence and deep learning for cardiac medical image analysis. Read more
 Supervisor: Dr J Zhao
 Year round applications  PhD Research Project  Awaiting Funding Decision/Possible External Funding
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Last chance to apply

Self-Funded PhD opportunity in Computer Science (Ref: SCI26-SF-002)

The Department of Computer Science offers PhD research across core theoretical foundations and applied, interdisciplinary areas, shaping not just modern computing but society as a whole. . Read more
 Supervisor: Dr A Sălăgean
 31 July 2026  PhD Research Project  Self-Funded PhD Students Only
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Responsible virtual assistant for effective marketing communication

This self-funded Ph.D. opportunity seeks to contribute to current research in the field of marketing communication, Artificial intelligence (AI) related technologies, and consumer behavior and well-being. Read more
 Supervisors: Dr S Rezaei, Dr RW Wiid
 Year round applications  PhD Research Project  Self-Funded PhD Students Only
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Unravelling Age-Related Multimorbidity through Biomarker Insights

Our study aims to advance ageing research using artificial intelligence (AI) to analyse UK Biobank (UKB) health data. We will explore how clusters of inflammatory biomarkers are linked to multiple long-term conditions (MLTCs), such as heart disease, respiratory issues, and diabetes. Read more
 Supervisor: Dr P Nishtala
 Year round applications  PhD Research Project  Self-Funded PhD Students Only

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