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We have 34 Machine Learning PhD Projects, Programmes & Scholarships in Manchester



Computer Science



Manchester  United Kingdom



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Machine Learning PhD Projects, Programmes & Scholarships in Manchester

We have 34 Machine Learning PhD Projects, Programmes & Scholarships in Manchester

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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Tackling Bias: Investigating and Addressing AI Fairness in Machine Learning Systems

The proposed PhD project aims to investigate and address the issue of fairness in machine learning systems. As machine learning algorithms are increasingly being used in various domains, from healthcare and criminal justice to employment and education, concerns about bias in these systems have gained prominence. Read more

Development of deep learning methods and software to infer pathway enrichment from histology images - application to liver fibrosis

Histopathological images are routinely used to characterize complex phenotypes. For example, pathologists regularly study stained images of tissue biopsies for cancer diagnosis as cancer is known to change the morphological features of cells including cell shape and size [1]. Read more

Understanding & Controlling Generative NLP Models

Motivation. Large Language Models such as ChatGPT have demonstrated the ability to generate high quality answers to complex questions and instructions, demonstrating the ability of these models to learn and encode complex linguistic, context and inference patterns. Read more

Using artificial intelligence and machine vision for real time identification and prediction of aggressive behaviour in livestock

Currently health and welfare assessment are done by trained assessors and as a result is time and labour consuming. This process can also be subjective, and it is sometimes questionable if the auditor is measuring animals under normal farm conditions. Read more

Efficient Deep Surrogate Models for Inverse Problems

Summary. Applying imaging techniques for industrial or biomedical applications frequently requires solving non-trivial inverse problems that need to be solved numerically. Read more

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