Postdoctoral Research Fellow in Discrete Element Modelling of Pharmaceutical Processes
UK Visa Sponsorship Analytics
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Occupation Type
Other researchers, unspecified discipline
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£43,600
(£22.36 per hour)
Occupation rate applies
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Description
The School of Chemistry and Chemical Engineering at the University of Surrey invites applications for a full-time Postdoctoral Research Fellow position, focussing on mechanistic modelling of pharmaceutical processes. This role offers a unique opportunity to join a dynamic research team focused on advancing the understanding of pharmaceutical formulation and manufacturing processes.
The role
The post holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based mechanistic models to simulate complex fluid and particulate systems.
About You
This role requires independent initiative, teamwork, and a proactive approach to problem-solving and innovation in pharmaceutical process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid models, such as DEM-CFD or DEM-SPH, is essential. For this position, a doctoral degree in a relevant discipline is required, although candidates nearing completion may be considered. Exceptional candidates with extensive experience may also be considered. The project involves collaboration with UK and international universities and industry partners, so strong teamwork and communication skills are essential.
This is a unique opportunity for motivated candidates to contribute significantly to cutting-edge research in pharmaceutical process modelling.
How To Apply
Please apply on the University website with your CV and cover letter also answering the criteria questions.
The role
The post holder will develop and implement mechanistic models to analyse and predict the behaviour of pharmaceutical processes. Your work will address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics-based models that optimise and control pharmaceutical manufacturing processes effectively. Your main responsibility is to develop and enhance discrete element models (DEM), integrating physics-based mechanistic models to simulate complex fluid and particulate systems.
About You
This role requires independent initiative, teamwork, and a proactive approach to problem-solving and innovation in pharmaceutical process modelling. The ideal candidate will possess a strong numerical background with proficient programming skills and a proven research record through publications and code development. Experience in developing discrete element models (DEM) or hybrid models, such as DEM-CFD or DEM-SPH, is essential. For this position, a doctoral degree in a relevant discipline is required, although candidates nearing completion may be considered. Exceptional candidates with extensive experience may also be considered. The project involves collaboration with UK and international universities and industry partners, so strong teamwork and communication skills are essential.
This is a unique opportunity for motivated candidates to contribute significantly to cutting-edge research in pharmaceutical process modelling.
How To Apply
Please apply on the University website with your CV and cover letter also answering the criteria questions.