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Postgraduate research project

Machine learning in hydraulics and fluid mechanics

Competition funded
View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree
(View full entry requirements)
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date

About the project

Applications are invited for a fully funded PhD position on machine learning (ML) applied to problems in hydraulics and fluid mechanics.

The successful applicant will join a world-leading research team and environment at the University of Southampton, a Russell Group member ranked as one of the world’s top 100 universities. Of particular importance for this project is the access to Iridis 5, the University of Southampton’s recently upgraded supercomputer, considered one of the most powerful in the UK.

The ubiquitous use and advantages of various ML algorithms in many aspects of modern life is common knowledge. With applications ranging from speech and image recognition to chatbots and financial forecasting, the possibilities of benefiting from ML are endless. One such possibility is the use of ML to enhance, or potentially replace, models of fluid flow based on physical principles, which are routinely used to predict floods or coastal erosion, for example (both important challenges in the context of climate change adaptation). Within this general theme, the selected candidate will have plenty of scope and freedom to define specific problems to focus on during their PhD.

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