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Optimisation of integrated continuous manufacturing processes.


Department of Chemical & Biological Engineering

About the Project

Computational tools and model-based optimisation, control and more broadly decision-making methods and applications have grown dramatically over the last decade and opened opportunities for a new generation of digital representation and simulation tools referred to as Digital Twins. A Digital Twin provides a virtual and yet a living and interactive replica of a physical system, process or product. It offers an augmented simulation and visualisation platform and expected to become a standard capability in all industries in near future. The process industries are undergoing a paradigm shift with the development and adoption of more flexible regulatory tools, agile lean and cost-effective continuous manufacturing technologies as well as robust decision-making systems. There are urgent and unprecedented needs for more intelligent and predictable simulation tools for model-based design, optimisation and control which came with a real transformation of the job market.
This PhD project will look at the development and validation of new strategies to build high fidelity dynamic models and integrated digital twins of continuous processes with self-optimising capabilities. The focus of the project will be mainly modelling and simulation but also potentially experimental validation that can be conducted by the PhD student or research collaborators. This PhD Project will benefit from our strong and well-established expertise in process engineering, mathematical modelling, simulation and process control. It will also be conducted as part of the Smart Manufacturing Solutions group, a world-class group involving industrial partners, including Siemens and IBM.

Funding Notes

This project is not able to provide funding and applicants will need to self-fund or secure external funding.
The ideal candidate will have (or expect to obtain) a first or upper second class degree (or equivalent) in a relevant discipline such as general engineering, process engineering, chemical engineering or control engineering. Applicants with applied mathematics will be considered too. 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.

References

If you require any further information before making an application, please contact either:
Dr Peyman Moghadam ([email protected])
Dr Payam Soulatiantork ([email protected] )
OR
Prof Mo Zandi ([email protected])
Website: https://smsolutions.technology/

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