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source

Shahab Resalati

2 months ago

PhD Studentship: AI-Enhanced Battery State of Health Estimation Using Ring Probabilistic Logic Neural Networks Oxford Brookes University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

United Kingdom

University

Oxford Brookes University

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Where to contact

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Deep Learning
Artificial Intelligence
Artificial Neural Network
Electric Vehicle
Lithium-ion Batteries
Data-driven Modeling
Interpretability
energy storage systems
Machine learning

About this position

[Bursary of £20,780 per annum for 3 years. University fees at the home rate are covered. International and EU students without Settled Status must pay the difference between home and international fees. Visa and associated costs are not covered.]

PhD Studentship: AI-Enhanced Battery State of Health Estimation Using Ring Probabilistic Logic Neural Networks

Oxford Brookes University invites applications for a fully funded, 3-year, full-time PhD studentship focused on developing advanced AI methods for battery State of Health (SOH) estimation. This project addresses the critical need for accurate SOH prediction in electric vehicles and energy storage systems, where safety, performance, and longevity are paramount. Traditional models often struggle with accuracy, generalisability, and computational efficiency, especially under diverse operating conditions.

The research will pioneer a novel AI-based framework, the Ring Probabilistic Logic Neural Network (RPLNN), which integrates probabilistic logic with neural computation. The RPLNN aims to enhance the robustness and interpretability of SOH predictions. Unlike conventional deep learning models, the RPLNN constrains information flow through a ring-based structure governed by probabilistic logic rules, improving interpretability, data efficiency, and resistance to data drift. The model will be developed, trained, and experimentally validated using lithium-ion cell data provided by Jaguar Land Rover (JLR), offering a unique opportunity to work with real-world industry data.

Supervision and Research Environment: The project will be supervised by Professor Shahab Resalati (Director of Studies) and Dr Aydin Azizi, both of whom have expertise in AI, battery systems, and engineering applications. Oxford Brookes University provides a vibrant research environment with access to state-of-the-art facilities and strong industry links.

Funding: The studentship offers a bursary of £20,780 per annum for three years. University fees at the home rate are covered. International and EU students without Settled Status must pay the difference between home and international fees. Visa and associated costs are not included.

Eligibility: Applicants should hold a first or upper second-class honours degree from a UK Higher Education Institution or an equivalent qualification. International/EU applicants must provide a valid IELTS Academic test certificate (or equivalent) with an overall minimum score of 6.0 and no score below 5.5, issued within the last 2 years by an approved test centre.

Application Process: Apply directly via the university portal. Required documents include a cover letter, CV, details of two referees (at least one academic), a research proposal, degree certificates and transcripts, a passport scan, and evidence of English language qualification (for international/EU candidates). The application deadline is 20th February 2026, with interviews to be confirmed (online). The successful candidate will start in September 2026.

For further information or queries, contact Professor Shahab Resalati at [email protected] or the studentships office at [email protected]. For application details, visit the Oxford Brookes University application portal.

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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