The University of Manchester
Manchester, UK
Application deadline: 30/06/2026 Research theme: Bayesian Models, Machine Learning, Generative Models, Physics-Informed Machine Learning How to apply: https://uom.link/pgr-apply-2425 This 3.5-year PhD project is fully funded and home students are eligible to apply (we also welcome students from the Republic of Ireland and EU students with settled status). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for 2026/27) and tuition fees will be paid. We expect the stipend to increase each year. The start date is October 2026. We recommend that you apply early as the advert may be removed before the deadline. This project will develop an integrated AI framework to design crystallisation reactors more effectively. It will first use generative AI to create and explore new reactor shapes. A Variational Autoencoder (VAE) will encode complex 3D reactor cross-sections into a continuous latent design space. It will then build hybrid models of...

