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IoT and AI-supported Decision Support System for Circularity Decisions


   Faculty of Engineering and Informatics

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  Dr Dhaval Thakker  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The traditional linear economy using a take‐make‐dispose model is resource intensive and has adverse environmental impacts. Circular economy (CE), which is regenerative and restorative by design, is recommended as the business model for resource efficiency. While there is a need for businesses and organisations to switch from linear to CE, there are several challenges that needs addressing such as business models and the criticism of CE projects often being small scale.

Technology can be an enabler toward scaling up CE; however, the prime challenge is to identify technologies that can allow predicting, tracking and proactively monitoring product's residual value to motivate businesses to pursue circularity decisions. In this PhD project, we will investigate an IoT‐enabled decision support system (DSS) for CE business model that effectively allows tracking, monitoring, and analysing products in real time with the focus on residual value. The DSS will use techniques and methodologies from the field of Explainable AI – where the focus will be on explaining decisions recommended by the system to the decision makers.

As part of this project, you will join a multi-disciplinary team of experts working on Artificial Intelligence, IoT and Circular Economy. You will be part of the internationally-leading IoT Innovation Lab at the University of Bradford, and will work with other researchers in the areas of IoT, Circular Economy, Digital Health and AI.


Funding Notes

This is a self-funded PhD project; applicants will be expected to pay their own fees or have a suitable source of third-party funding. A bench fee may also apply to this project, in addition to the tuition fees. UK students may be able to apply for a Doctoral Loan from Student Finance for financial support.
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