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We have 474 Artificial Intelligence PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
Artificial Intelligence PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
We have 474 Artificial Intelligence PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
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.
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Machine Learning for Solving Constrained Optimisation Problems
Constraint satisfaction and optimization problems are an important class of problems in artificial intelligence, where a set of decisions need to be made together, so that some requirements are satisfied and perhaps also some criteria optimised. Read more
Automated Flow Synthesis: In-Line Reaction Monitoring and Machine Learning for the Optimisation of Continuous Flow Photocatalytic Reactions
This 3.5-year funded PhD opportunity will be a collaborative project with Vapourtec Ltd in the Lee, Vilela and Mota research groups at Heriot-Watt University, Edinburgh, on Synthetic Organic Chemistry, Flow Chemistry and Machine Learning. Read more
Human identification through a combined Genomics-Mass Spectrometry Microbial Forensic approach
The Industry and Innovation Research Institute (I2Ri) draws on talents, expertise and facilities across Sheffield Hallam University. Read more
Representation Learning for Early Lung Cancer Diagnosis: Development of a Novel Generalised AI Pipeline for Multi-Centre Datasets
Lung cancer is the commonest cause of cancer deaths worldwide. Lung screening with low dose CT imaging gives early-stage cancer diagnosis and 20-25% reduction in lung cancer mortality1. Read more
Towards Machine Understanding of Human Languages: AI for Storytelling Across Languages and Cultures
In the realm of AI and computer science, disciplines such as Natural Language Processing (NLP), Human-Computer Interaction (HCI), and AI-centric Language Models are critical for fostering communication and collaboration between humans and machines in the future. Read more
Designing optimal resource collecting robot swarms
The Industry and Innovation Research Institute (I2Ri) draws on talents, expertise and facilities across Sheffield Hallam University. Read more
The diversity challenge for leading companies: application of AI technologies in recruitment and selection
This interdisciplinary PhD project addresses the diversity challenge for leading companies by critically questioning the use of AI in processes of recruitment and selection. Read more
Artificial Intelligence, Gender and Political Violence
Political violence is an important issue. It affects personal integrity of individuals, and political integrity, decreases democratic quality, and undermines the fairness of the political process. Read more
Low-power artificial intelligence for practical marine robotics
Uncrewed submarines, underwater gliders, and surface vessels are the future of environmental monitoring and naval surveillance in the ocean. Read more
Using Cryptosporidium genomics for investigating outbreaks and disease transmission
In this exciting project the PhD student will identify outbreaks of cryptosporidiosis, with a supervisory team that includes clinical scientists from Public Health Wales and academics specialising in genomic and bioinformatics technologies. Read more
The Sheffield Children’s Hospital/Insigneo Institute for In Silico Medicine PhD Programme in Digital Health: Advanced Healthcare Communication
Supervisor(s). Professor Jim Wild (representing a team of potential supervisors from Insigneo) and Professor Paul Dimitri (representing a team of potential supervisors from SCH). Read more
The Sheffield Children’s Hospital/Insigneo Institute for In Silico Medicine PhD Programme in Digital Health: Digital Healthcare at Home
Supervisor(s). Professor Jim Wild (representing a team of potential supervisors from Insigneo) and Professor Paul Dimitri (representing a team of potential supervisors from SCH). Read more
The Sheffield Children’s Hospital/Insigneo Institute for In Silico Medicine PhD Programme in Digital Health: Digital Twins
Supervisor(s). Professor Jim Wild (representing a team of potential supervisors from Insigneo) and Professor Paul Dimitri (representing a team of potential supervisors from SCH). Read more
The Sheffield Children’s Hospital/Insigneo Institute for In Silico Medicine PhD Programme in Digital Health: Digital Wards
Supervisor(s). Professor Jim Wild (representing a team of potential supervisors from Insigneo) and Professor Paul Dimitri (representing a team of potential supervisors from SCH). Read more
Improved Detection of Bovine Tuberculosis Infected Cattle using Artificial Intelligence
Bovine tuberculosis (BTB), caused by M. bovis, is the current biggest zoonotic disease problem in farms in the UK. The control and eradication of BTB hinges on prompt identification and removal of all infected cattle from the herd to prevent transmission to other animals as well as humans. Read more