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We have 796 Artificial Intelligence PhD Projects, Programmes & Scholarships
Artificial Intelligence PhD Projects, Programmes & Scholarships
We have 796 Artificial Intelligence PhD Projects, Programmes & Scholarships
A PhD in Artificial Intelligence is designed to further your research in the field of AI. Research in Artificial Intelligence seeks to understand how technology can be applied to improve the lives of humans.
What's it like to do a PhD in Artificial Intelligence?
Doing a PhD in Artificial Intelligence, you'll be developing new technology that helps AI systems solve problems and make decisions. You'll likely have the opportunity to collaborate with experts from the local AI community.
Some popular research topics in Artificial Intelligence include:
- Machine learning
- Computer vision
- Intelligent robotics
- Natural language processing
- Data analytics
Your research will likely have three main objectives:
- Designing and implementing algorithms
- Testing and evaluating these algorithms
- Implementing your new solutions
Some popular AI research methods include machine learning, Bayesian techniques, deep learning and probabilistic reasoning.
You may also be asked to write a thesis that will contribute to the existing body of AI research. Your thesis must be defended in an oral viva examination at the end of your PhD.
Most PhDs in Artificial Intelligence are pre-designed, although some universities may accept students proposing their own research if it aligns with the research interests of the department.
Entry requirements for a PhD in Artificial Intelligence
The minimum entry requirement for a PhD in Artificial Intelligence is usually a 2:1 undergraduate degree in a relevant subject, although a Masters may sometimes be required.
You may also need some professional experience, although this is less common.
Financial support options for a PhD in Artificial Intelligence
A PhD in Artificial Intelligence will most likely have funding attached, meaning you’ll receive coverage for the cost of tuition fees and a living cost stipend depending on the programme.
PhD in Artificial Intelligence entry procedures
If you're applying for an advertised PhD, you'll simply submit your application through the department's website. You'll need to attach a copy of your university application and a research proposal.
PhD in Artificial Intelligence careers
You'll gain expertise in the latest in AI both during your PhD and through the publishing of your thesis, meaning you'll be well-equipped to enter the job market after graduation. Careers in Artificial Intelligence include working in finance, healthcare, transport and other service sectors.
NeuroAI: Neuro-inspired AI of decision-making and learning
Decision-making and learning are core components of cognition not only in humans, but also in artificial intelligence (AI). The latter is particularly so in machine learning (ML) such as deep learning. Read more
NeuroAI: From machine learning to neurocomputational modelling of decision-making and learning
Decision-making and learning, often occurring in the face of uncertain information, are core components of cognition in humans and other organisms. Read more
Integrating wearable technology and Artificial Intelligence for enhanced health monitoring and rehabilitation
Wearable technology has changed how we monitor health by allowing us to track detailed movement data over long periods, in real-time, and from anywhere. Read more
New Directions in Artificial Intelligence for Physics
Machine-learning algorithms are becoming essential components of scientific analyses, in particular in particle physics, where current analyses at the Large Hadron Collider (LHC) are beginning to use machine-learning tools to push the boundaries of what we can learn about the fundamental laws of nature. Read more
Machine learning the dynamics of force-sensing proteins
Mechanosensing proteins detect mechanical forces within cells and convert them into biochemical signals. Understanding the dynamic behaviour of these proteins under force is key for advancing our understanding of this process called mechanotransduction. Read more
Balancing user needs and technology adoption for healthy ageing
A range of health impairments is more common in the ageing population, which imbalances their health and well-being. As a result, strategies that promote better brain health and well-being in older age are an urgent public health priority. Read more
Blockchain and AI-Enabled Traceability for Sustainable Supply Chains
This PhD project aims to revolutionize sustainable supply chain management by integrating blockchain and artificial intelligence (AI) to enhance transparency, traceability, and accountability. 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
Machine Learning and Artificial Intelligence (AI): Methodological Advances in Machine Learing, Generative AI and Reinforcement Learning
Machine Learning and Artificial Intelligence (AI). Flexible research project extending state of the art methodology in any area of Machine Learning, Artificial Intelligence (AI) and Reinforcement Learning. Read more
Vocal repertoires of killer whales in captive social groups: effects of social environment and genealogy
The role of genealogy and the social and physical environment in shaping behavioural repertoires can be difficult to disentangle in the wild, but studies on captive groups where environmental variables are controlled and genealogy and social history are known, can provide valuable insights. Read more
AI-assisted robust aero-engine structural analysis due to fan blade-off
Supervisory Team: Dr. Jie Yuan, Dr. David Toal. Project description. Robust design is crucial to ensure the durability and reliability of aerospace components throughout their entire life cycle due to the variations arising from geometry, material properties and loads during the long-term operation. Read more
Artificial Intelligence for Environmental Fluid Dynamics Modelling
Supervisory Team. Gustavo de Almeida and Dr Sergio Maldonado. This PhD project explores the use of Physics-Informed Neural Networks (PINNs) to solve environmental flow problems, including the 2D Shallow Water Equations. Read more
AI and Robotics: Fully Funded EPSRC PhD Studentship: Human-in-the-Loop Robot Control and Learning based on AI methods
Key Information. Funding provider: EPSRC DTP 25/26 Fully Funded Studentship. Subject area: AI and Robotics. Project start date: 1 October 2025 (Enrolment open from mid-September). Read more
Spatial Perception for Robotics
This studentship is offered by the EPSRC Centre for Doctoral Training in Robotics and Artificial Intelligence for Net Zero (RAINZ CDT) which is a partnership between three of the UKs leading universities (University of Manchester, University of Glasgow and University of Oxford). Read more
Circular Economy and Robotic Life Cycles
Supervisors . Dr Alejandro Gallego Schmid - University of Manchester. . Prof Maria Sharmina - University of Manchester. . Read more