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We have 7 Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Loughborough
Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Loughborough
We have 7 Machine Learning PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships in Loughborough
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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Machine learning techniques for 6G wireless networks
Due to spectrum scarcity, efficient use of spectrum such as advanced resource allocation techniques and spatial diversity techniques including massive MIMO has attracted huge interests recently and formed an important part of 5G wireless network design. Read more
New signal processing in mobile communications based on machine learning techniques
While the world is stepping into the 5G era, the demands for higher data throughput and more security will never stop. This requires more efficient signal processing techniques in communications. Read more
Machine learning solutions for computer network operations
We invite driven and enthusiastic PhD candidates to work in computer network operations and machine learning, in the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University. Read more
Continual Learning in Neural Information Retrieval
Neural ranking models for information retrieval (IR) use deep neural networks to rank search results in response to a query. Recently proposed neural models learn representations of language from raw text that can bridge the gap between query and document vocabulary. Read more
Complexity-driven neuromorphic photonics in ultrafast nonlinear systems
Neuromorphic computing is a rapidly evolving research area aiming to overcome some of the standard limitations of current Machine Learning (ML) technologies. Read more
Edge AI for safety-critical systems
We invite applications for self-funded students to work in machine learning for safety-critical systems. The successful applicant will join the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University under the supervision of Dr. Read more
Ontology Digital Twinning for Knowledge Modelling and Fusion in Building Risk Assessment and Insurance
Built on the initial work of ‘Applying AI to building blueprints for insurance risk assessment (AURIE)’, this project aims to develop an ontology digital twinning approach to construct the domain knowledge graphs for improved risk assessment and underwriting capability. Read more
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