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- Tasks: Develop predictive models for battery ageing using advanced machine learning techniques.
- Company: Join the innovative HetSys programme at the University of Warwick.
- Benefits: Fully funded PhD with a tax-free stipend and research training budget.
- Other info: Collaborative environment with leading researchers and industry partners.
- Why this job: Make a real impact on sustainable energy and battery technology.
- Qualifications: Strong background in physics, engineering, or computer science required.
The predicted salary is between 21805 - 21805 £ per year.
Overview
About the project:
Under pressure: Predictive modelling of battery ageing across the scales.
Lithium-ion batteries are essential for electric vehicles and achieving net-zero targets, but they degrade over time, reducing performance and safety. A key issue is gas generation, which causes internal pressure build-up and can lead to cell failure, but existing models struggle to capture this complex, multiscale phenomenon efficiently. This project will develop a novel, physics-informed surrogate model using Bayesian machine learning to predict gas generation and pressure evolution. Our approach will combine physical insight with data-driven techniques and uncertainty quantification, offering fast, reliable predictions and contributing to safer, longer-lasting batteries.
About HetSys:
HetSys (Centre for Doctoral Training in Modelling of Heterogeneous Systems) at the University of Warwick is an innovative, interdisciplinary fully funded PhD programme that brings together science, engineering, and mathematics to tackle some of the most pressing challenges of our time.
- Big Questions, Real Impact – From climate modelling and sustainable energy to advanced materials and biomedical systems, HetSys projects apply cutting‑edge computational and mathematical techniques to problems with global significance.
- Interdisciplinary Training – Students gain expertise across physics, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry.
- Collaborative Environment – Work alongside leading researchers and industry partners in a supportive, vibrant community that values curiosity, creativity, and collaboration.
- Future‑Focused Careers – HetSys graduates are equipped with highly sought‑after skills in modelling, simulation, and data science, preparing them for impactful careers in research, technology, and beyond.
If you’re excited by the idea of using advanced modelling and simulation to solve complex, real‑world problems, HetSys offers the perfect environment to push boundaries and make a difference.
Awards for UK applicants cover full University fees, give a research training budget and a tax-free stipend to cover living costs (standard UKRI rate £21,805 in 26/27 - equivalent to national living wage).
PhD Studentship: Under pressure: Predictive modelling of battery ageing across the scales in Coventry employer: University of Warwick
Contact Detail:
University of Warwick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land PhD Studentship: Under pressure: Predictive modelling of battery ageing across the scales in Coventry
✨Tip Number 1
Network like a pro! Reach out to current PhD students or alumni from the HetSys programme. They can give you insider info on the application process and what it’s really like to work with Dr Lukasz Figiel.
✨Tip Number 2
Prepare for your interview by brushing up on your knowledge of lithium-ion batteries and predictive modelling. Show us that you’re not just passionate but also knowledgeable about the field!
✨Tip Number 3
Don’t underestimate the power of a good research proposal. Make sure yours highlights how your skills in physics, engineering, and data science can contribute to the project’s goals. We want to see your unique perspective!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the resources you need to make your application stand out.
We think you need these skills to ace PhD Studentship: Under pressure: Predictive modelling of battery ageing across the scales in Coventry
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your skills and experiences align with the project on predictive modelling of battery ageing. We want to see your passion for the subject, so don’t hold back!
Showcase Relevant Experience: Include any relevant projects or research you've done that relates to lithium-ion batteries, machine learning, or data-driven techniques. We love seeing how your background can contribute to our innovative approach!
Be Clear and Concise: Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your enthusiasm shines through!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive all your materials and can consider you for this exciting opportunity.
How to prepare for a job interview at University of Warwick
✨Know Your Stuff
Make sure you understand the fundamentals of battery ageing and predictive modelling. Brush up on key concepts like gas generation and Bayesian machine learning, as these will likely come up in conversation. Being able to discuss these topics confidently will show your passion and preparedness.
✨Show Your Interdisciplinary Skills
This role is all about combining science, engineering, and mathematics. Be ready to share examples of how you've applied knowledge from different fields in your past work or studies. Highlighting your versatility will demonstrate that you're a great fit for the collaborative environment they value.
✨Ask Insightful Questions
Prepare some thoughtful questions about the project and the team. Inquire about the specific challenges they face with current models or how they envision the future of battery technology. This shows your genuine interest and helps you gauge if the role aligns with your career goals.
✨Be Yourself
While it's important to be professional, don't forget to let your personality shine through. The interviewers are looking for someone who fits into their vibrant community. Share your enthusiasm for the project and your vision for making an impact in the field of battery technology.