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  Development of a Software for Real-Time Analysis and Visualisation of Big-Data for Industry 4.0


   Department of Chemical & Biological Engineering

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  Dr Peyman Moghadam, Prof Joan Cordiner, Prof Mohammad 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.

In this PhD, we will create a bespoke data analytics platform that is capable of analysing and plotting historic and real-time process data, similar to a data historian. This platform will have the ability to create a multitude of data visualizations including unique five-dimensional scatter plots which excels in exploratory analysis. The visualizations will be displayed on an enterprise quality dashboard allowing for users to customize what key performance indicators are displayed and where it is displayed. The dashboard will allow the user to apply and execute various analytical techniques including statistical methods, dimensionality reduction, and noise reduction in the data. By combining the dashboard with IoT for condition and process monitoring, machine learning algorithms can be added to the platform to make use of cutting-edge industry 4.0 techniques such as predictive maintenance and quality control. Lastly this platform will be used for capturing and creating insights from data created by digital twins and other data driven models.

Please see this link for information on how to apply: https://www.sheffield.ac.uk/cbe/postgraduate/phd/how-apply. Please include the name of your proposed supervisor and the title of the PhD project within your application.

The ideal candidate will have or expect to achieve a first-class honours degree or equivalent in computer science and/or engineering 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 an International English Language Testing System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language.

Computer Science (8)

Where will I study?

 About the Project