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- Tasks: Join a team to advance battery modelling using AI and machine learning.
- Company: Coventry University is a global leader in education and research, tackling real-world challenges.
- Benefits: Enjoy 30 days annual leave, excellent pension contributions, and discounts at various retailers.
- Why this job: Be part of pioneering research that impacts society and enhances battery performance globally.
- Qualifications: PhD or equivalent experience in machine learning and mathematical modelling required.
- Other info: Submit a research proposal with your application; interviews start on 11th August 2025.
The predicted salary is between 30000 - 50000 £ per year.
Coventry University is a global Education Group that empowers students and communities to transform their lives and society through teaching, learning, research, and enterprise. An ambitious and innovative university, our research is designed to have real-world impact on society and tackle global challenges through our 16 challenge-led, interdisciplinary research centres. We enable high performing research teams and future research leaders to thrive and make an impact locally, regionally, nationally, and globally.
As a Research Fellow, you will collaborate with leading experts across three international labs—spanning Coventry University’s Centres for E-Mobility and Clean Growth and Computational Science and Mathematical Modelling, and Stellenbosch University’s Mathematical Modelling group in South Africa. This cross-continental partnership, based in the UK with mobility to South Africa, fosters pioneering, cross-disciplinary research that integrates AI, energy systems and advanced mathematics.
This position aims to advance the next generation of battery modelling and control strategies by combining Supervised Machine Learning and Reinforcement Learning. The objective is to significantly enhance battery performance and longevity. While conventional methods rely on either physics-based models or high-level state estimation, this project invites you to transcend these boundaries—developing novel, computationally efficient models grounded in real-world data, and leveraging RL to optimise performance, lifetime, or both.
Qualifications Required
- PhD (or equivalent) or professional experience equivalent to a PhD demonstrating an ability to carry-out independent research with a 1st Class/2.1 Degree
Our Successful Candidate
- We seek an ambitious researcher with a strong foundation in Bayesian theory, machine learning, and mathematical modelling.
- You should be confident in software development and capable of passing a programming test.
- Experience with battery systems, lab-based experimentation and reinforcement learning is highly desirable.
The Benefits
- Excellent Employers Pension Contribution
- 30 days Annual leave plus Bank Holidays
- New Holiday Purchase Scheme up to 5 additional days
- Life Assurance 4x Salary
- BUPA Cash Plan
- CU Reward Scheme – Discounts across a range of High Street/ Online Retailers
Our Culture
As a global Education Group, equality, diversity, and inclusion are embedded within the fabric of our organisation and are a key focus of our core values. We harness the power and potential of the diverse cultures, backgrounds, abilities, and experiences of our students, colleagues, and partners to create opportunities for all.
Please note that in addition to the standard application form, applicants will be required to submit a research proposal outlining their proposed research plans and clarity of how the research proposal is positioned in the wider research context.
Interviews week commencing 11th August 2025. We look forward to hearing from you!
Research Fellow in AI for Battery Modelling and Control employer: Coventry University
Contact Detail:
Coventry University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in AI for Battery Modelling and Control
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in battery modelling and control. This will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the field of AI and battery technology. Attend relevant conferences or webinars to connect with potential colleagues and mentors who can provide insights into the role and the research environment at Coventry University.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, especially those related to machine learning and mathematical modelling. Be ready to explain how these experiences can contribute to the objectives of the Research Fellow position.
✨Tip Number 4
Consider drafting a preliminary research proposal that aligns with the goals of the project. This shows initiative and helps you articulate your vision for advancing battery performance through AI, which could set you apart from other candidates.
We think you need these skills to ace Research Fellow in AI for Battery Modelling and Control
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Research Fellow position. Make sure you understand the key responsibilities, required qualifications, and the specific skills they are looking for, such as experience in Bayesian theory and machine learning.
Craft a Tailored Research Proposal: Prepare a research proposal that outlines your proposed research plans. Ensure it clearly positions your work within the wider research context mentioned in the job description. Highlight how your research can contribute to advancements in battery modelling and control.
Highlight Relevant Experience: In your CV and cover letter, emphasise any relevant experience you have with battery systems, lab-based experimentation, and reinforcement learning. Use specific examples to demonstrate your capabilities and achievements in these areas.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a research role.
How to prepare for a job interview at Coventry University
✨Showcase Your Research Proposal
Make sure to prepare a clear and concise research proposal that outlines your plans and how they fit into the broader context of battery modelling and control. This will demonstrate your understanding of the role and your ability to think critically about your research.
✨Highlight Relevant Experience
Be ready to discuss your experience with Bayesian theory, machine learning, and mathematical modelling. If you have worked on battery systems or conducted lab-based experiments, make sure to share specific examples that showcase your skills and knowledge.
✨Prepare for Technical Questions
Since the role involves programming and software development, brush up on your coding skills and be prepared to tackle a programming test. Familiarise yourself with common algorithms and techniques used in AI and reinforcement learning.
✨Demonstrate Collaboration Skills
Given the cross-continental nature of the role, emphasise your ability to work collaboratively with international teams. Share experiences where you successfully collaborated on projects, highlighting your communication skills and adaptability.
