Research Fellow in Pharmarceutical Crystallisation Process Modelling | Ηνωμένο Βασίλειο

Are you an experienced and ambitious researcher looking for your next challenge?

Do you have a background in the modelling of pharmaceutical crystallisation processes?

Do you have a passion to uncover the links between process modelling and digital design of crystallisation processes for precision crystal manufacture and personalised medicines?

Do you want to further your career in one of the UK’s leading research intensive Universities?

You will be a member of the team of the £20.4M Advanced Digital Design of Pharmaceutical Therapeutics (ADDoPT) project, which has been funded by the Department for Business, Energy and Industrial Strategy’s Advanced Manufacturing Supply Chain Initiative. The project is industry-led and is being delivered by a consortium of companies and academic institutions. The aim of the ADDoPT project is to accelerate the translation of molecules into medicinal products. This project will optimise the manufacturing processes of pharmaceutical products to effectively supply the current and next generation of medicines.Your position at the University of Leeds is directed towards the development of constitutive models for manufacturing processes and product performance. In particular, the post involves the development of predictive tools for crystallisation process modelling and design, using coupled computational fluid dynamics (CFD) and population balance modelling (PBM) methods. This research work is led by the University of Leeds and involves collaboration with AstraZeneca, Bristol-Myers Squibb, BRITEST, Cambridge Crystallographic Data Centre (CCDC), GlaxoSmithKline, Perceptive Engineering, Pfizer, Process Systems Enterprise (PSE) and the Science and Technology Facilities Council’s (SFTC) Hartree Centre together with the Universities of Cambridge and Strathclyde.This is an exciting opportunity to undertake internationally-leading research in the field of molecular-based process and product engineering, developing modelling approaches which are suitable for exploitation within the other work packages in the ADDoPT project. 

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