Developing ontologies for digital engineering and manufacturing PhD

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Across manufacturing, data is growing in abundance, and creating numerous challenges as to how to make better decisions over time. As the amount of data increases, it is necessary to store, standardise, process, and make data accessible in a way that gets beyond the quirks of different teams and technology. This requires interoperability to be in place to sustain the potential value that we can get from Cyber Physical Systems (CPSs) and the ever-growing richness of information. Interoperability is a vital aspect of modern technology, driving the seamless interaction and collaboration between diverse data sources, software/hardware systems, applications, devices, and enterprises. Managing interoperability sits at the heart of this PhD research project, which brings together Cranfield University and BAE Systems. The project will aims to develop an interoperability platform using ontologies to enable the exchange of data across platforms at scale.

Whilst data is becoming more available, we need better ways to manage its use. This is where ontologies offer an exciting opportunity, with its ability to to enable knowledge sharing and reuse by means of common data architectures. This approach will semantically enhance the data, which will enable interoperability across a system of systems environment.

This PhD aims to develop a common ontology based methodology to address interoperability issues both in the context of new and legacy assets.

How to apply

For further information please contact:

Name: Professor John Erkoyuncu

Email: .u?subject=SATM511

If you are eligible to apply for this studentship, please complete the online application form.

To help us track our recruitment effort, please indicate in your email – cover/motivation letter where (nearmejobs.eu) you saw this posting.

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