Ishmael Tingbani
Top university
6 months ago
PhD Position in AI and Circular Economy for Sustainability Reporting University of Southampton in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
United Kingdom
University
University of Southampton

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About this position
A fully funded PhD position is available at the University of Southampton as part of the UKRI Centre for Doctoral Training in AI for Sustainability (SustAI CDT). The project, led by Associate Professor Ishmael Tingbani and Dr. Renata Konadu, focuses on 'AI-Enabled Sustainability Reporting and Assurance for the Circular Economy: Aligning Real-Time Supply Chain Data with Global Sustainability Reporting Frameworks.' The research aims to leverage artificial intelligence to address urgent environmental challenges by improving sustainability reporting and supply chain transparency. The program offers structured training in AI, sustainability, and professional skills, as well as interdisciplinary collaboration across computer science, engineering, and related fields.
Students will benefit from engagement with industry, NGOs, and policymakers, and will receive mentorship, workshops, and career development support. The opportunity is open to applicants from the UK, EU, and Horizon-associated countries, with a particular encouragement for women, Black students, and other underrepresented groups in AI and STEM. The position is fully funded, covering tuition and providing a stipend. The application deadline is January 27, 2026.
Interested candidates should apply online and may attend information sessions for further details.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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