PhD Studentship: ACE: AI-supported Circular Economy

Project title: ACE: AI-supported Circular Economy Supervisory Team: Vahid Yazdanpanah; Hector Calvo-Pardo Project description: The AI-Supported Circular Economy (ACE) PhD 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. The ACE project aims to (1) improve matching algorithms to better account for industry needs and inputs, and using data-driven methods for evaluating which firms can collaborate efficiently and reuse resources; (2) develop dynamic pricing and smart contract mechanisms for efficient transactions, utilising algorithmic game theory methods and mechanism design; and (3) design and develop budget-balanced taxation and subsidy schemes to encourage environmentally sustainable Circular Economy relations. This involves testing policies and incentive schemes, e.g., using Agent-based simulations, that local authorities can effectively apply. This PhD project offers a unique opportunity to contribute to the forefront of sustainable circular economies through AI innovation. We welcome candidates with a passion for cutting-edge research, and an eagerness to explore innovative applications in sustainable resource optimisation and Circular Economy. Applicants are expected to hold a very good (at least 2-1) BSc or MSc in Computer Science, AI, Operations Research, Economics, Applied Mathematics, or a related discipline. All applications will be considered on merit, tailored to the individual case. This is a 4-year integrated PhD (iPhD) programme and is part of the UKRI AI Centre for Doctoral Training in AI for Sustainability (SustAI). At SustAI, we highly value diversity and actively encourage applications from women, Black, Asian and minority ethnic (BAME), LGBT+, and disabled candidates for this studentship. Committed to Equality, Diversity, and Inclusion. For more information about SustAI, please see: https://sustai.info/ Entry Requirements A very good undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent). Closing date: 8 April 2024.  Later applications may be considered depending on funds remaining. Funding: We offer a range of funding opportunities for both UK and international students, including Bursaries and Scholarships.  For more information please visit PhD Scholarships | Doctoral College | University of Southampton  Funding will be awarded on a rolling basis, so apply early for the best opportunity to be considered. How To Apply Apply online:  HERE Select programme type (Research), 2024/25, Faculty of Engineering and Physical Sciences, next page select “iPhD in Sustainable AI (Full time)”. In Section 2 of the application form you should insert the name of the supervisor Vahid Yazdanpanah. Applications should include: Research Proposal Curriculum Vitae Two reference letters Degree Transcripts/Certificates to date For further information please contact: feps-pgr-apply@soton.ac.uk