You are successfully registered
You are successfully registered
Thanks for telling us about yourself, ! Now we know who we're talking to, and can create content you'll love
We use cookies for three reasons: to give you the best experience on PGS, to make sure the PGS ads you see on other sites are relevant , and to measure website usage. Some of these cookies are necessary to help the site work properly and can’t be switched off. Cookies also support us to provide our services for free, and by click on “Accept” below, you are agreeing to our use of cookies.You can manage your preferences now or at any time.
We use cookies, which are small text files placed on your computer, to allow the site to work for you, improve your user experience, to provide us with information about how our site is used, and to deliver personalised ads which help fund our work and deliver our service to you for free.
The information does not usually directly identify you, but it can give you a more personalised web experience.
You can accept all, or else manage cookies individually. However, blocking some types of cookies may affect your experience of the site and the services we are able to offer.
You can change your cookies preference at any time by visiting our Cookies Notice page. Please remember to clear your browsing data and cookies when you change your cookies preferences. This will remove all cookies previously placed on your browser.
For more detailed information about the cookies we use, or how to clear your browser cookies data see our Cookies Notice
Strictly necessary cookies
These cookies are necessary for the website to function and cannot be switched off in our systems.
They are essential for you to browse the website and use its features.
You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. We can’t identify you from these cookies.
Functional cookies
These help us personalise our sites for you by remembering your preferences and settings. They may be set by us or by third party providers, whose services we have added to our pages. If you do not allow these cookies, then these services may not function properly.
Performance cookies
These cookies allow us to count visits and see where our traffic comes from, so we can measure and improve the performance of our site. They help us to know which pages are popular and see how visitors move around the site. The cookies cannot directly identify any individual users.
If you do not allow these cookies we will not know when you have visited our site and will not be able to improve its performance for you.
Marketing cookies
These cookies may be set through our site by social media services or our advertising partners. Social media cookies enable you to share our content with your friends and networks. They can track your browser across other sites and build up a profile of your interests. If you do not allow these cookies you may not be able to see or use the content sharing tools.
Advertising cookies may be used to build a profile of your interests and show you relevant adverts on other sites. They do not store directly personal information, but work by uniquely identifying your browser and internet device. If you do not allow these cookies, you will still see ads, but they won’t be tailored to your interests.
Full time
4 years
SEP-26
PhD/DPhil - Doctor of Philosophy
Auditing
Machine Learning (ML) has a great impact on our daily lives. Developments in ML are built on improved systems that can train and generate increasingly powerful models. Systems design greatly impacts ML performance and capability.
Major advancements are made when ML and systems are developed and optimised together. This is relevant across many industries such as:
However, PhD training that combines systems and ML is rare, as research training is often separated into individual subdisciplines.
Instead, we need researchers trained in both fields and experienced in working across them. This ML Systems PhD involves training collaborative researchers with experience across systems and ML.
The programme is about machine learning that works to deliver for a need. It involves a holistic view of machine learning and systems that includes both a user-centric approach and an understanding of how to make things work.
Contact University and ask about this fee
For this course (per year)
£34,800
A UK 2:1 honours degree, or its international equivalent, in an area relevant to the CDT, for example, informatics, computer science, AI, cognitive science, mathematics, physics, engineering, or in another field with sufficient additional evidence of capability in the required areas.