PhD Studentship Opportunity: Pharmaceutical Powder Processing

About the Project
This project aims to identify critical material attributes and critical process parameters for die filling of pharmaceutical powders during tablet manufacturing. Specific tasks for this project include but not limited to:

Undertake critical literature review to understand the background, the state-of-the-art and the challenges, and to identify the knowledge gap;
Carry out experimental investigation to understand how cohesion of pharmaceutical formulations affect die filling performance;
Explore the influence of powder properties and process conditions on powder flow behaviour during pharmaceutical tablet manufacturing.
Supervisor: Professor Charley Wu

This is a 36 month project starting in January 2022.

Entry requirements

We are looking for a highly motivated candidate who holds a master degree or equivalent in Engineering, pharmaceutical technology or a closely-related discipline, with a keen interest in particle technology and pharmaceutical engineering. The candidate should be a good team player and can engage in collaboration with good oral and written communication skills. Previous experience or some knowledge in pharmaceutics and powder technology are desirable bit not essential as training will be provided. 

English language requirements: IELTS 6.5 overall with 6.0 in each band or equivalent.

How to apply

Applications should be submitted via the Chemical and Process Engineering PhD programme page on the “Apply” tab.

Please state clearly the studentship project at you would like to apply for.

About the Formulation and Products research group

The aim of the Formulation and Products research group is to develop science-based predictive models, design tools and innovative manufacturing processes for formulated products. This is underpinned by our active research in particulate materials manufacturing, multiphase flow, advanced numerical modelling using coupled discrete element methods with computational fluid dynamics (DEM-CFD) and finite element modelling (FEM), process modelling and optimisation, and measurements and characterisation using advanced techniques.