University of Sheffield
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Fully Funded PhD in Digital and Data-Driven Life Cycle Assessment for Low-Carbon Battery Manufacturing University of Sheffield in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded 4-year PhD through the EPSRC MADE4Manufacturing CDT. Includes a £28,000 annual tax-free stipend (stated as equivalent to a £34,000 salary) and a £35,000 research and training support budget over four years for conferences, travel, equipment, and research activities.
Deadline
Nov 30, 2026
Country
United Kingdom
University
University of Sheffield

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About this position
Fully funded PhD opportunity at the University of Sheffield in Digital and Data-Driven Life Cycle Assessment for Low-Carbon Battery Manufacturing.
The project sits within the EPSRC MADE4Manufacturing CDT and combines life cycle assessment, machine learning, digital technologies, and sustainable battery manufacturing. It offers strong industrial collaboration and training opportunities.
Funding includes a £28,000 annual tax-free stipend and a £35,000 research and training support budget over four years, covering conferences, travel, equipment, and research activities.
This is a 4-year fully funded PhD and is open to UK Home students only. The application deadline is 30 November 2026.
Apply via the provided link: application portal.
Funding details
Fully funded 4-year PhD through the EPSRC MADE4Manufacturing CDT. Includes a £28,000 annual tax-free stipend (stated as equivalent to a £34,000 salary) and a £35,000 research and training support budget over four years for conferences, travel, equipment, and research activities.
What's required
Applicants should be motivated PhD candidates interested in digital and data-driven life cycle assessment, machine learning, digital technologies, and sustainable battery manufacturing. The post states it is open to UK Home students only.
How to apply
Use the provided application link to apply online. Check eligibility carefully because the opportunity is open to UK Home students only. Submit before 30 November 2026.
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