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We have 23 Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Cardiff
Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Cardiff
We have 23 Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Cardiff
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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Self-supervised learning defending against advanced cyber threats in IoT [Self Funded Students Only]
Research Group:
Cybersecurity, Privacy and HCC Research Section
Machine learning techniques have been increasingly used in enhancing security by offering IoT systems anomaly detection, threats identification, malware detection, automated threat response, etc. Read more
Incremental machine learning with emerging new classes and application to edge computing [Self-Funded Students only]
Research Group:
Complex Systems
Standard classification methods can only classify pre-defined classes, i.e., they classify a new instance into one (or multiple) of the known classes. Read more
Model Predictive Control for Autonomous Vehicles and Robots [Self-Funded Students Only]
Research Group:
Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more
Mapping the Character of Geographic Places [Self Funded Students Only]
Research Group:
Data and Knowledge Engineering
This project will use data mining and machine learning methods to categorise and then map geographic locations according to their distinguishing characteristics. Read more
Predictive Emergency Service Operations Planning [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Aims. The objective of this project is the exploration of the frontier between demand forecasting and operations planning to devise predictive, intelligent, and adaptive strategies in the context of emergency services (e.g., policing, fire services, medical services). Read more
Design and definition of Natural Language Processing models in the legal domain [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Aims. The objective of this project is to apply Natural Language Processing (NLP) methods to devise and implement data-oriented applications in the legal domain. Read more
AI for Ecology and Biodiversity: Inferring habitat-species interactions from historical records [Self Funded Students Only]
Research Group:
Data and Knowledge Engineering
This project will apply artificial intelligence methods for natural language processing and machine learning to extract ecological and biodiversity data from textual descriptions of the environments in which biological specimens were collected. Read more
Natural Language Processing for Text Adaptation [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Lots of informative publicly available content is written in a language that may not be easy to understand by everyone. For example, the latest research on a disease, terms and conditions for using an app, documents in public administration, etc. Read more
Human and Computer Representation of Images Synthesised by Generative Artificial Intelligence
The Project . Generative artificial intelligence (AI) has radically changed the way, in which humans interact with technology. Read more
Human and Computer Representation of Images Synthesised by Generative Artificial Intelligence
The Project . Generative artificial intelligence (AI) has radically changed the way, in which humans interact with technology. Read more
Extracting content from social media for situation awareness in emergency response. [Self Funded Students Only]
Research Group:
Data and Knowledge Engineering
This project will employ natural language processing methods to extract information from social media postings in the context of disasters and emergency situations. Read more
Microstructure tissue characterisation with MRI and Artificial Intelligence
Research Group:
Brain Imaging
The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more
Advancing Non-reversibility in Bayesian Networks [Self-Funded Students Only]
Research Group:
Visual Computing
About the Project. Bayesian Sampling has been very well studied in the literature for investigating various complex time series and regression analysis problems up to date. Read more
Bring cutting-edge AI to the digital forensic analysis [Self Funded Students Only]
Research Group:
Cybersecurity, Privacy and HCC Research Section
Artificial intelligence (AI) based applications are bringing transformational changes and creating significant value in a variety of sectors, such as finance, healthcare, criminal justice, education, etc. Read more
Advanced privacy-enhancing techniques using homomorphic encryption in cloud computing [Self Funded Students Only]
Research Group:
Cybersecurity, Privacy and HCC Research Section
Data privacy is increasingly challenging in many cloud computing scenarios due to the widespread use of edge-cutting techniques, such as artificial intelligence, Internet of things (IoT), big data analytics, etc., which has become an unprecedented global motivator for change. Read more
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