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Keele University Data Analysis PhD Projects, Programs & Scholarships

We have 8 Keele University Data Analysis PhD Projects, Programs & Scholarships

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We have 8 Keele University Data Analysis PhD Projects, Programs & Scholarships

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Stellar mass loss and feedback from red giants to supernova remnants

Building on our expertise in the mass loss from cool evolved stars, this project aims to take the next step in the empirical determination of the launching and driving mechanisms of stellar winds, the formation of circumstellar dust, the properties of core-collapse and electron-capture supernova progenitors and the impact of supernova remnants on the ambient interstellar medium. Read more

In Search of Runaway Stars

Most stars in our galaxy move in more or less orderly orbits, but in recent decades astronomers have identified some stars that are moving considerably faster than expected; these are runaway stars. Read more

Machine-learning methods for stellar model calibration with large datasets

In mid-2022, the European Space Agency (ESA) will release new results from the Gaia mission. This third data release (DR3) will be the first one to include mass, radius and luminosity estimates for eclipsing binaries stars based on Gaia data. Read more

Finding eclipsing binary star systems and measuring their physical properties using machine learning

The study of eclipsing binary star systems is one of the most mature and rewarding areas of stellar physics, offering the unique opportunity to determine the masses and radii of distant stars using only observational data and geometry. Read more

Mining question and answer (QA) websites to support software practitioners to improve the software development process

Software engineering and data analytics is an active and important research area with many opportunities for innovation.  This project will provide an opportunity to pursue research in the area of data science and software engineering. Read more

Computer vision and machine learning for recognition of civil structure components and their damage analysis

In this project the PhD research student needs to understand the strengths and weaknesses of the deep convolutional neural network for analysis of civil infrastructures, such as concrete bridges, highways, buildings, tunnels and stadiums, using videos and images. Read more

Advanced machine learning techniques for IoT and smart systems

Internet of Things (IoT) is a key enabling technology for various smart system applications in different industry sectors, e.g. energy, transport, healthcare, logistics. Read more
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