This fully-funded PhD opportunity focuses on the application of machine learning to understand the effects of isomerization on adsorption and diffusion in porous Molecular Framework Materials (MFMs). The project, backed by the Leverhulme Trust, aims to develop a machine learning platform that models the local structural dynamics of MFMs, which are crucial for various applications due to their porous and tunable nature.
