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We have 508 Artificial Intelligence PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
Artificial Intelligence PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 508 Artificial Intelligence PhD Projects, Programmes & Scholarships 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.
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Human Inspired Video Recognition using top down and bottom-up features
How does the human brain understand people's activities in a scene much better than existing computer systems? It is proposed that humans combine prior knowledge of people and objects in the scene with sensory information (e.g., colour or motion) to understand complex activities even if they are similar actions (e.g., hugging vs fighting). Read more
A citizen-orientated interaction model for data donation to medical research that increases public trust and participation in artificial intelligence
Supervisory Team. Professor Dame Wendy Hall, Dr Haiming Liu, Prof Michael Boniface, Dr Hans Michael Haitchi. Project description. Read more
Future User-centred Interactive Information Access
Supervisory Team. Dr Haiming Liu . Project description. Read more
Predicting diabetes-related complications with machine learning techniques
Diabetes mellitus is characterised by chronic hyperglycaemia associated with a higher risk of cardiovascular complications. Read more
Development of low-cost perfusion MRI for microvascular screening
Join the University of Sheffield Healthy Lifespan Institute and help us transform the future of ageing research with this fully funded PhD Studentship!. Read more
High-resolution Rainstorm Forecasting using Machine Learning
The aim of this project is to develop new high-resolution machine learning based forecasting methods for intense rainstorms in the UK. Read more
Studies of oxygen transport & human oxygenases via computer simulation and machine learning
The human body can sense changes in atmospheric oxygen levels and adjust its metabolic activities to suit the local environment. This is why we are able to live at a variety of altitudes ranging from below sea level to up on high mountains. Read more
Mechanistic insights into enzyme catalysis via ab initio molecular dynamics and machine learning
With the unprecedented processing capacity available, computational studies are making remarkable contributions in the field of enzymatic biocatalysis. Read more
AI4NG: AI for Neurogaming - AI-Cloud Platform for Largescale Neurogaming with Neurotechnology
Implantable and wearable neurotechnology utilization is expected to increase dramatically in the coming years, with applications in enabling movement-independent control and communication, rehabilitation, treating disease, improving health, recreation (neurogaming) and sport among other applications. Read more
AI4N: AI for Next-generation Neurotechnology
Implantable and wearable neurotechnology utilization is expected to increase dramatically in the coming years, with applications in enabling movement-independent control and communication, rehabilitation, treating disease, improving health, recreation (neurogaming) and sport among other applications. Read more
Physiological and Physics-Based Machine Learning for ECG/PPG Emergency Department Triage and Diagnosis
The MARCS Institute/ICNS, together with the School of Computer, Data and Mathematical Science is offering a research scholarship to a highly motivated PhD candidate to work within a research group on machine learning for medicine, data science and signal processing. Read more
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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