The University of Sheffield has recently built a world-leading multi-million pounds Diamond Pilot Plant Industry 4.0 Demonstrator (DiPP). DiPP includes continuous crystallizer, fluidized bed and powder processing equipment which contain various multiphase systems such as liquid-solid and gas-solid flows. Experimental measurements and numerical models such as Computational Fluid Dynamics (CFD), Discrete Element Method (DEM), Population Balance Model (PBM) and Machine Learning methods can be very helpful to understand the mechanisms within different unit operations. The PhD candidate can choose one or two methods depending on his/her research interests and will be then supported by the costumed software package developed in my group.
This project is focused on developing a novel approach for helping the design, optimization, and scale-up of multiphase systems. The candidate will be trained with the design-of experiment, High-Performance Computing and problem-solving skills, and gain experience in their applications in real industrial problems. The candidate will also be provided with the opportunity to engage with leading companies such as Siemens, P&G, BASF, Pfizer, AstraZeneca and GSK.
Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor and the title of the PhD project within your application.