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Developing an Advanced Digital Twin for a Pharmaceutical Pilot Plant

Department of Chemical & Biological Engineering

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Dr PZ Moghadam , Dr Payam Soulatiantork , Prof M Zandi Applications accepted all year round Self-Funded PhD Students Only

About the Project

The world-leading Diamond Pilot Plant Industry 4.0 Demonstrator (DiPP) already puts Sheffield and the UK at the centre stage of global research-led teaching facilities in process engineering and education.

The research study proposed here will leverage and enhance the DiPP facilities to enable the pharmaceutical industry to explore the benefits which IoT, simulation and other digitalisation technology can bring to their existing plants, by offering:

- Demonstration facilities to test and validate potential IoT applications in the real world.

- Cost-effective experimentation with production-class operational equipment, without the costly downtime and reduced output, if that were to be done on actual production machines.

- An opportunity to access and optimise low-level control systems in a pre-competitive environment.

For more information please contact Dr Peyman Moghadam ([Email Address Removed]), Dr Payam Soulatiantork ([Email Address Removed]) or Prof Mo Zandi ([Email Address Removed]).

Funding Notes

The ideal candidate will have a first-class degree or equivalent in computer science and/or process control with good understanding or interest in the pharma industry. Experience in programming e.g. in Python is desirable. This is a multidisciplinary project and the successful candidate will benefit from an extensive pure group of industrial partners from manufacturers to end-users.

If English is not your first language, then you must have International English Language Testing Service (IELTS) average of 6.5 or above with at least 6.0 in each component.
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