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We have 408 Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
We have 408 Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in the UK
A PhD in Machine Learning focuses on the application of mathematical and statistical models to find patterns in data. You'll be asked to identify, model, and evaluate the systems that can be used to improve the performance of computer systems.
What's it like to do a PhD in Machine Learning?
Traditionally, Machine Learning is divided into different subfields. You'll have the option of choosing from popular fields of study such as Computer Vision and Language Processing.
Some popular Machine Learning subfields are:
Computer Vision
You can opt for a PhD in Computer Vision if you're interested in developing computer systems that can analyse and interpret digital images and video. You'll likely be asked to research methods to improve object classification, image registration, object tracking, and object recognition.
Language Processing
If you're interested in a PhD in Language Processing, you'll be looking at ways to improve the way computers interpret, process, and generate language. You'll be researching methods and techniques to process, store, and search large text collections. You may also be asked to research methods to improve natural language processing.
Machine Learning also has application in other fields such as finance, healthcare, manufacturing, and retail. However, the above are the most popular areas of research.
A PhD in Machine Learning will require you to come up with a research proposal to be defended in an oral exam during your viva. Your research will involve experimentation and observation that may culminate in a publishable paper at the end of your project.
PhD in Machine Learning entry requirements
A PhD in Machine Learning requires a minimum of a 2:1 undergraduate degree in a related subject. You may also be asked to show that you have the necessary pre-entry experience in computer science.
PhD in Machine Learning funding options
A PhD in Machine Learning will most likely have funding attached, meaning if you're awarded a studentship, your tuition fees will be covered and you'll receive a monthly stipend.
PhD in Machine Learning careers
Machine Learning models form the basis of many technologies we interact with every day. A PhD in Machine Learning will equip you with the skills to enter a wide range of careers in industries such as finance, healthcare, retail, and defence. You may also choose to continue your research and aim for a career in academia.
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Data Science and Analytics for Cardiac Response to Music
This research project brings together computational modelling of music and of the heart to explain cardiac response to performed music. Read more
Multimodal AI for Multi-omics Data Integration
A fully funded PhD Studentship is available to work with. Professor Greg Slabaugh. , Professor of Computer Vision, and Director of the Digital Environment Research Institute, Queen Mary University London, and Dr Mahdi Tabassian, Associate Principal Scientist,. Read more
Scalable battery state-of-charge estimation via parallel Bayesian machine learning
This project is part of a 4 year Dual PhD degree programme between the National Tsing Hua University (NTHU) in Taiwan and the University of Liverpool in England. Read more
Smart Local Energy Systems to Unlock Net Zero (RENU23-R/EE/MPEE/JIANG)
The EPSRC Centre for Doctoral Training (CDT) in Renewable Energy Northeast Universities (ReNU)is a collaborative doctoral training programme run by the Universities of Northumbria, Newcastle and Durham. Read more
Developing Efficient Food Waste Management System using Federated Learning
This project is part of a 4-year Dual PhD degree programme between the National Tsing Hua University (NTHU) in Taiwan and the University of Liverpool in England. Read more
Machine Learning for predicting yeast phenotype from genotype for biotech applications
This project will apply artificial intelligence approaches to address this challenge. Read more
Trustworthy AI for Socially Compliant Autonomous Driving
Driving is highly dynamic within varied environments and for an autonomous vehicle (AV) to perform reasonably and safely, many variables need to be considered which go well beyond simple rules. Read more
Durham/Ørsted Maintenance data mining PhD
Wind turbines are highly reliable machines that are typically operated in remote offshore areas. Currently, there is a rapid acceleration of turbine… Read more
Seepage through water retaining structures; an experimental and numerical investigation
Water-retaining structures are used for different purposes however the main purpose of using them is to control movement or presence of water. Read more
Large Language Models for authorship analysis
The University of Manchester
Faculty of Humanities Doctoral Academy, School of Arts, Languages and Cultures
About the Project. Authorship analysis, sometimes also called authorship attribution or authorship identification, is the task of determining who wrote a document based on the author’s use of language. Read more
Experimental and numerical investigation into the behaviour of unsaturated soils to develop a behaviour prediction model
New state-of-the-art laboratory equipment will be used to create experimental date reflecting the behaviour of unsaturated soils in various climate conditions. Read more
A New Generation of Dam Assessment: An Artificial Intelligence Approach
A significant number of dams are in service to supply domestic and industrial water, generate hydroelectric power as well as control flood effects on the society they serve. Read more
Developing Explainable Recommendation Systems
We are seeking highly motivated individuals to join our research group as Ph.D. students in the field of Explainable Recommendation Systems. Read more
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An AI-based biometrics facial recognition continuous authentication framework and protocols for Shoulder Surfing Attacks
The project looks into the existing security vulnerabilities related to Shoulder Surfing attacks while using personal devices or smartphones. Read more
PhD studentship in model-based Reinforcement Learning
The School of Energy, Geoscience, Infrastructure and Society (EGIS) at Heriot-Watt University (Scotland, UK) is looking for a PhD candidate to work on engineering optimisation and control using Reinforcement Learning (RL) techniques. Read more