Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation

Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation Applications are invited from outstanding candidates for PhD study in the Department of Materials Science and Engineering within the Faculty of Engineering. Project title: Machine Learning for In Situ Materials Characterisation. We are seeking an outstanding PhD candidate to develop machine learning methods for advanced and in situ materials characterisation. Modern characterisation techniques generate increasingly complex datasets describing microstructure, crystallography, phase evolution, chemistry and morphology.