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Haijun Ruan

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PhD in Battery Degradation Modelling, AI and Machine Learning for Battery Prognostics Coventry University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

A four-year, full-time PhD opportunity with interdisciplinary research training and international collaboration between Coventry University and A*STAR in Singapore. The post does not specify stipend or tuition details in the text provided.

Deadline

Nov 15, 2026

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Country

United Kingdom

University

Coventry University

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Keywords

Computer Science
Electrical Engineering
Chemical Engineering
Materials Science
Mathematics
Artificial Intelligence
Uncertainty Analysis
Sustainable Energy
ML

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About this position

Coventry University is advertising a PhD opportunity in battery degradation modelling, artificial intelligence, machine learning, and battery prognostics. The project focuses on combining physics-based modelling with AI/ML to better predict how batteries age, estimate remaining useful life (RUL), quantify prediction uncertainty, and explore second-life battery and battery repurposing applications.

This is a four-year, full-time PhD with interdisciplinary research training and an international research attachment/collaboration with A*STAR - Agency for Science, Technology and Research in Singapore. The work is positioned at the intersection of energy storage, sustainable energy, battery science, and machine learning.

Eligibility highlights: applicants should have a background in Electrical and Electronic Engineering, Mechanical Engineering, Computer Science, Mathematics, Control Engineering, Electrochemical Engineering, or a related STEM discipline. Prior experience in batteries, modelling, AI, or machine learning is considered an advantage.

Location: Coventry University, UK, with an international research attachment in Singapore.

Deadline: 15 November 2026.

How to apply: review the project page and submit your application through the provided link. If you are interested in battery prognostics, degradation modelling, and trustworthy AI for energy storage, this is a strong fit.

Funding details

A four-year, full-time PhD opportunity with interdisciplinary research training and international collaboration between Coventry University and A*STAR in Singapore. The post does not specify stipend or tuition details in the text provided.

What's required

Motivated graduates with backgrounds in Electrical and Electronic Engineering, Mechanical Engineering, Computer Science, Mathematics, Control Engineering, Electrochemical Engineering, or related STEM disciplines. Experience in batteries, modelling, AI, or machine learning is an advantage.

How to apply

Review the project details and submit an application using the provided project link. Prepare to demonstrate relevant background in batteries, modelling, AI, or machine learning. Apply before 15 November 2026.

More information can be found here

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