PhD in Chemical and Process Engineering - Innovative Manufacturing Products (Modelling and Data Analytics)

University of Leeds

We use mathematical modelling as a tool for simulation of the behaviour of materials, processes and systems plays a significant role in contemporary science and research. Its potential for developing methods for numerical design and prediction of phenomena in physico-chemical and biological systems increases with the continuously increasing computer power, data storage and improved visualisation approaches. Mathematical models can be used as simulators of new processes and materials, providing ways for the efficient optimisation of their parameters. Such techniques can also be used for control and decision making at different levels – from physical performance to strategy building. The use of mathematical models to predict process behaviour and material properties responds to the increasing demand for digitalisation of the economy. The Research Group integrates expertise in the mathematical modelling of chemical, physical and mechanical, processes and materials in the School of Chemical and Process Engineering. The research topics cover broad areas in materials science and particle technology and answer questions of importance to the industrial practice. Main industrial collaborators are Pfizer, Astra Zeneca, P&G, TOTAL, AbbVie and Atomising Systems Ltd.