Doctoral Training Centre in Next-Generation Materials Chemistry

The Centre will train PhD graduates at the interface of physical science, AI, data science, and robotics to create the leaders in data-enabled science that UK industry and academia requires to deliver R&D 4.0.

The PhD projects tackle multidisciplinary problems which are co-defined by industrial partners, working with University of Liverpool academics in the physical sciences, computer science, and engineering, with supervisory teams spanning the range of disciplines required to tackle the research problems. Core training in robotics, automation and data science will form part of a unifying curriculum, together with leadership and entrepreneurship training, to underpin the individual research projects.

Students will be located in the newly opened Materials Innovation Factory (MIF), which collocates academic and industrial researchers over 4 floors, with state-of-the-art automated research capabilities, including the £3M Formulation Engine. They will benefit from the cross-disciplinary training environment of the MIF, which contains staff from Physics and Computer Science as well as Chemistry, and the well-established community around the Leverhulme Research Centre in Functional Materials Design, which is typified by a vibrant functioning engagement between physical science and computer science. Industrial partners include Unilever, Johnson Matthey and NSG Pilkington.

Current Opportunities:

Discovery of transparent conductors for sustainable buildings using Deep Learning

Discovery of transparent conductors for sustainable buildings using Machine Learning and Advanced Data Analytics

Development of machine learning, mathematical optimisation and algorithmic techniques for materials chemistry problems

Development of machine learning, mathematical optimisation and algorithmic techniques for materials chemistry problems (Chemistry)

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