Akshay Rao
Top university
1 year ago
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Materials for grid-scale energy storage University of Cambridge in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
This is a fully-funded, four-year PhD studentship at the University of Cambridge, covering tuition and providing a stipend. The project is interdisciplinary and includes collaboration with industry and multiple university departments.
Deadline
Expired
Country
United Kingdom
University
University of Cambridge
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About this position
Funding details
This is a fully-funded, four-year PhD studentship at the University of Cambridge, covering tuition and providing a stipend. The project is interdisciplinary and includes collaboration with industry and multiple university departments.
What's required
Applicants should have a strong background in physics, chemistry, materials science, applied mathematics, or related disciplines. No specific GPA or language test requirements are mentioned, but interdisciplinary skills and interest in machine learning and experimental datasets are preferred.
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Professors
Professor at University of Cambridge
United Kingdom
Research Interests
Organic Chemistry
Polymer Chemistry
Chemistry
Computer Science
Applied Mathematic
Professor at University of Cambridge
United Kingdom
Research Interests
Computer Science
Machine Learning
Energy Materials
Physics
Applied Mathematic
Assistant Professor at University of Cambridge
United Kingdom
Research Interests
Artificial Intelligence
Machine Learning
Computer Science
Chemistry
Physics
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We’re looking for a PhD student at the University of Cambridge to help accelerate the discovery of materials for grid-scale energy storage – an important part of the global transition to renewable energy.
This interdisciplinary, four-year studentship (starting October 2025) will combine advanced machine learning methods with novel experimental datasets at the Cavendish Laboratory. The student will develop new computational approaches to identify and understand factors driving battery degradation, efficiency, and lifespan.
The project is jointly supervised by Akshay Rao (Physics), James Fergusson and myself (DAMTP), with additional collaboration from Chemistry, the spinout company illumion , and the broader AI-for-Science community in Cambridge. Students with strong backgrounds in physics, chemistry, materials science, applied mathematics, or related disciplines are particularly encouraged to apply.
Deadline: 10 May, 2025
Full details in the flyer attached.
If you know students who might be interested, please do share or circulate within your networks. Thank you!