ACE: AI-supported Circular Economy

Co-supervisor: Dr Hector Calvo-Pardo

The project aims to improve matching algorithms to better account for industry needs and inputs, using data-driven methods for evaluating which firms can collaborate efficiently and reuse resources; develop dynamic pricing and smart contract mechanisms for efficient transactions, utilising algorithmic game theory methods and mechanism design; and design and develop budget-balanced taxation and subsidy schemes to encourage environmentally sustainable circular economy relations. 

This project advances sustainable practices in the circular economy through the innovative application of state-of-the-art AI methods.

The circular economy is a sustainable economic model, aiming to minimise waste and maximise resource reuse through closed-loop systems, in contrast to the traditional linear model of extracting raw material, producing, and then sending waste to pollute the environment. Instead, the circular economy prioritises the continual use and regeneration of materials, products, and resources to extend their lifecycle, reducing environmental impact.

In this context, matching algorithms play a crucial role in facilitating the identification of synergies among industry stakeholders, ensuring optimal collaboration and resource reuse, thereby contributing to the overarching goal of creating environmentally sustainable circular economies. This needs to be complemented by smart methods for managing established relations (dynamic contracts) and requires support from policymakers in terms of incentives and subsidy schemes. 

This PhD project offers a unique opportunity to contribute to the forefront of sustainable circular economies through AI innovation.

Entry requirements

You must have a UK 2:1 honours degree or its international equivalent, in one of the following:

• computer science
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• artificial intelligence
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• operations research
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• economics
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• applied mathematics
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• a related discipline

How to apply

Apply now

You need to:

• choose programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences
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• choose 'iPhD AI for Sustainability' (Full time or Part time)
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• insert name of the supervisor Dr Vahid Yazdanpanah, and the project title.

Applications should include: 

• your CV (resumé)
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• 2 reference letters
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• degree transcripts/certificates to date

If you wish to discuss any details of the project informally, please email Dr Vahid Yazdanpanah ([Email Address Removed]).