University of Sheffield
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Fully Funded PhD in AI-Assisted Dynamic Life Cycle Assessment and Circularity Benchmarking for Next-Generation Vehicles University of Sheffield in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded 3.5-year PhD project. The post highlights academic-industry collaboration and professional development; no stipend amount is stated in the post text.
Deadline
Jan 13, 2027
Country
United Kingdom
University
University of Sheffield

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About this position
Fully funded PhD opportunity at the School of Chemical, Materials and Biological Engineering, University of Sheffield, in collaboration with CHERY UK (OMODA & JAECOO UK Limited).
The project is titled AI-Assisted Dynamic Life Cycle Assessment and Circularity Benchmarking for Next-Generation Vehicles and focuses on combining artificial intelligence, dynamic life cycle assessment (LCA), and circular economy strategies to improve the sustainability of next-generation vehicles.
This is a 3.5-year PhD with strong academic–industry collaboration and interdisciplinary research opportunities. It is especially relevant for students interested in AI, sustainable mobility, LCA, circularity, and vehicle sustainability.
The post does not specify a stipend amount or detailed eligibility criteria in the text, but it clearly states that the position is fully funded. The application deadline shown in the post is Wednesday, 13 January 2027.
Interested applicants should follow the FindAPhD link in the post to review the project page and submit an application before the deadline.
Funding details
Fully funded 3.5-year PhD project. The post highlights academic-industry collaboration and professional development; no stipend amount is stated in the post text.
What's required
Motivated PhD candidate interested in AI, dynamic life cycle assessment (LCA), circularity benchmarking, and sustainable mobility/next-generation vehicles. The post emphasizes interdisciplinary research and collaboration with industry; no specific degree class, language test, or GPA requirement is stated in the post text.
How to apply
Apply via the FindAPhD listing linked in the post. Use the application page to review project details and submit before Wednesday, 13 January 2027.
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