About the Project
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.
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.
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