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Ferran Brosa Planella

Top university

10 months ago

Fully Funded PhD Opportunities in Energy Storage, Battery Ageing, and Thermochemical Energy Storage at University of Warwick University of Warwick in United Kingdom

Degree Level

PhD

Field of study

not provided

Funding

The PhD positions are fully funded, covering tuition fees and providing a stipend. No specific stipend amount is mentioned, but funding is described as comprehensive for the duration of the programme.

Deadline

Expired

Country flag

Country

United Kingdom

University

University of Warwick

About this position

Fully funded PhD opportunities are available at the University of Warwick through the HetSys Centre for Doctoral Training (CDT), focusing on energy storage research. The programme is designed for students from physical sciences, mathematics, and engineering who are passionate about applying mathematical and computational skills to solve complex, real-world problems. HetSys CDT provides interdisciplinary training in computational modelling for heterogeneous systems, preparing researchers to advance the field across diverse themes.

Two highlighted projects for the next cohort include:

  • Under Pressure: Predictive Modelling of Battery Ageing Across the Scales – This project addresses the challenges of lithium-ion battery ageing and gas generation, which can cause pressure build-up and cell failure. The research will develop physics-informed surrogate models using Bayesian machine learning to predict gas generation and pressure evolution, combining physical insight with data-driven approaches. The aim is to deliver fast, reliable predictions for safer, longer-lasting batteries. The project is co-supervised by Ferran Brosa Planella and Lukasz Figiel, in collaboration with JLR.
  • Turning Up the Heat: Modelling and Scale-Up of Thermochemical Energy Storage – This project focuses on thermochemical energy storage (TCES) using NaOH-water systems, which offer a promising solution for storing heat through reversible chemical reactions. The research will develop hybrid modelling tools to improve design and scale-up, reduce costly experiments, and provide confidence intervals for better decision-making. The project is co-supervised by Ellen Luckins and Steven Metcalf.

Applicants should have a strong background in physical sciences, mathematics, or engineering, and an interest in computational modelling, machine learning, or energy systems. The positions are fully funded, covering tuition fees and providing a stipend. The application deadline is January 28, 2026. For more information and to apply, visit the HetSys CDT website.

Keywords: Energy Storage, Battery Ageing, Thermochemical Energy Storage, Bayesian Machine Learning, Physics-Informed Modelling, Computational Modelling, Lithium-ion Batteries, NaOH-water TCES, Physical Sciences, Mathematics, Engineering.

Funding details

The PhD positions are fully funded, covering tuition fees and providing a stipend. No specific stipend amount is mentioned, but funding is described as comprehensive for the duration of the programme.

What's required

Applicants should have a strong background in physical sciences, mathematics, or engineering, and enjoy applying mathematical skills to complex problems. Experience or interest in computational modelling, machine learning, or energy systems is desirable. Specific entry requirements are not detailed, but candidates should meet the HetSys CDT PhD programme criteria.

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Professors

Associate Professor

University Name
Country flag

United Kingdom

Research Interests

Hardware Engineering

Energy Engineering

Lithium-ion Batteries

Electrochemistry

Thermophysics