Centre for Doctoral Training in Machine Learning Systems PhD with Integrated Study

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.<br/><br/>Major advancements are made when ML and systems are developed and optimised together. This is relevant across many industries such as:<br/><br/><br/>- in-car systems<br/><br/><br/>- medical devices<br/><br/><br/>- mobile phones<br/><br/><br/>- sensor networks<br/><br/><br/>- condition monitoring systems<br/><br/><br/>- high-performance computing<br/><br/><br/>- the creative industries<br/><br/><br/>- patient care<br/><br/><br/>- social networking<br/><br/><br/>- high-frequency trading<br/><br/><br/>However, PhD training that combines systems and ML is rare as research training is often separated into individual sub-disciplines.<br/><br/>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.<br/><br/>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.