PhD in Artificial Intelligence in United Kingdom
There are 6 phd Artificial Intelligence programmes for international students across 5 universities in United Kingdom. Tuition is about free. Browse the full list below, compare entry requirements, and explore scholarships to fund your studies.
Beyond Pilots: A Socio-Technical Framework for Scaling and De-Risking Enterprise AI
This PhD project focuses on developing a socio-technical framework to help organisations successfully scale and de-risk the deployment of Artificial Intelligence (AI) and Generative AI (Gen AI) within their enterprises. While many companies experiment with AI pilots, a significant number struggle to move beyond these initial stages to integrate AI across their functions and achieve measurable business value. The research addresses the 'proof-of-concept trap,' where the differences between pilot environments (limited scope, curated data) and scaling environments (enterprise data architecture, integration, compliance) lead to failures. It also considers behavioural and organisational risks, such as employees misusing AI tools or exposing sensitive data, which can result in compliance issues and reputational damage. The project proposes AI scaling as a socio-technical transition, requiring systematic de-risking across strategic, operational, governance, behavioural, and infrastructural dimensions. By synthesising industry challenges with Socio-Technical Systems (STS) Theory and Organisational Information Processing Theory (OIPT), the aim is to identify key enablers and governance mechanisms for responsible and sustainable AI scaling, helping organisations move beyond pilots to create durable, risk-adjusted value.
Centre for Doctoral Training in Artificial Intelligence for Biomedical Innovation PhD with Integrated Study
This PhD with Integrated Study focuses on the application of Artificial Intelligence (AI) to address critical global health challenges, aiming to improve healthcare systems and patient outcomes. The program trains interdisciplinary researchers with both technical AI skills and essential biomedical domain knowledge. Graduates will be equipped to develop and implement innovative AI solutions across public and private sectors. Designed for individuals with varying levels of prior computer science and mathematics exposure, including clinicians, allied health professionals, and biological/biomedical scientists, the program covers responsible and open AI research, bias minimisation, and model explainability for clinical use. Research is structured around four themes: AI for Genomic Medicine, AI for Biomedical Imaging, AI for Cellular and Molecular Systems Medicine, and AI for Biomedical & Health Informatics. The goal is to produce highly competent researchers capable of contributing to both academia and industry.
Doctor of Philosophy (PhD) in Artificial Intelligence
The PhD in Artificial Intelligence focuses on how computer systems can replicate human decision-making processes. You will conduct independent, research-based study under the guidance of an academic supervisor who is an expert in the field. This program is designed for students who want to contribute to the advancement of AI, an increasingly vital area with applications in the Internet of Things and other advanced computing systems. This research doctorate involves significant independent study, typically completed in three years. You will be assigned a supervisor early in your program to guide your research. Throughout your studies, you will progress through defined review stages to ensure your research remains focused and on track for thesis completion. The program culminates in the submission of your thesis and an oral examination assessed by an external expert.
Generative AI Models for Materials Discovery
This PhD project focuses on developing advanced generative machine learning models to accelerate the discovery of new inorganic solid-state materials, crucial for innovations in energy storage, catalysis, semiconductors, and quantum technologies. The current methods for designing these materials are challenging, highlighting the importance of improved methodologies. The project will explore cutting-edge generative modelling techniques, such as diffusion models and large language models, integrating them with chemically informed constraints and first-principles calculations. The aim is to create AI-driven crystal structure prediction workflows that can accurately generate potential experimental targets, predict their stability and properties, and ultimately push the boundaries of materials discovery beyond existing paradigms. You will join a multidisciplinary research group at the intersection of solid-state materials science and AI, with access to high-performance computing resources and opportunities to collaborate with experimentalists. This studentship is ideal for individuals with a background in computational materials science, machine learning, or artificial intelligence, who possess strong Python coding skills. Familiarity with ML frameworks like PyTorch/TensorFlow, graph/neural networks, materials science, crystallography, or solid-state chemistry would be advantageous.
Informatics: AIAI: Foundations and Applications of Artificial Intelligence, Automated Reasoning, Agents, Data Intensive Research
The Informatics PhD program at the University of Edinburgh, with a specialization in the Artificial Intelligence and its Applications Institute (AIAI), focuses on advancing computer systems to mimic and augment human capabilities, foster human-computer interaction, and support collaborative efforts. You will engage in cutting-edge research across the foundations of AI, including knowledge representation, reasoning, ontology change, and computational creativity, as well as its practical applications in intelligent systems like autonomous agents, social computing, and web semantics. The research emphasizes developing understandable and usable AI models to address critical issues such as fairness, accountability, transparency, and safety. The program combines theoretical exploration with strong applied research, tackling real-world challenges in diverse sectors such as healthcare, scientific collaboration, emergency systems, transportation, and aerospace. The School of Informatics consistently ranks among the top globally for Computer Science and was rated 1st in the UK for research power in Computer Science and Informatics by the REF 2021, ensuring you learn from leading experts. You will join a large and dynamic department situated in Edinburgh city centre, a vibrant tech hub.
Frequently asked questions
How many Artificial Intelligence programmes are there in United Kingdom?
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6 across 5 universities, listed on this page.
Can international students apply?
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Yes — these programmes admit international students; check each programme's entry requirements and language of instruction.