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Machine learning and data mining

On this project, you'll learn several new and important areas of IT and mathematics, including data mining, machine learning, and analysis on graphs, big data management, GPU/CUDA programming and data sets fusion.

Unusual behaviour detection and deep learning methods can have much wider applications in other areas like target detection, intruder detection, suspicious activities monitoring etc. You also will develop an experience in mathematical programming and software development.

You will learn how to collaborate and how to communicate results to non-mathematicians, and how to work on an interdisciplinary project.

We are interested in pursuing this project and welcome applications if you are self-funded or have funding from other sources, including government sponsorships or your employer.

Please contact the supervisor when you want to pursue this project, citing the project title in your email, or find out more about our PhD programme in Mathematics.


Professor Alexander Balinsky

Professor Alexander Balinsky

Professor of Mathematical Physics

+44 (0)29 2087 5528

Programme information

For programme structure, entry requirements and how to apply, visit the Mathematics programme.

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