Research Fellow - Battery (Degradation) Data Curation and Modelling ()
Posted 6 hours 1 minute ago by RFCSR
Location: University of Warwick Campus, Coventry, United Kingdom
General Description: The University of Warwick invites applications for a Research Fellow in Battery (Degradation) Data Curation and Modelling within WMG, one of the largest departments at the University and internationally recognized for its industry-focused research and innovation. This role forms part of the RaRR project, launched in October 2025 and funded by EPSRC and HVMC, which focuses on understanding second-life battery degradation-particularly in micro mobility systems-and establishing advanced frameworks for managing large-scale multimodal datasets within research and development environments.
The successful candidate will join the Battery Modelling team to develop strategies for data capture, storage, and reuse while building highly accurate and transferable predictive models for estimating battery Remaining Useful Life (RUL) and State of Health (SoH). The role includes validating modelling approaches using real world datasets and supporting the development of scalable data management systems for battery research.
Key responsibilities include auditing and improving existing battery data collection strategies, defining requirements for real, synthetic, and multimodal datasets, and establishing frameworks for efficient data integration and reuse across research activities. The role also involves developing predictive machine learning models to analyse battery degradation patterns and evaluating their transferability between laboratory and field datasets generated by industrial partners.
The Research Fellow will contribute to the design of unified data platforms and dashboards, create guidelines for best practices in data collection and management, and support research outputs through publications, project reports, and presentations. The position also involves working collaboratively with academic, industrial, and software partners, preparing materials for research meetings and conferences, and contributing to future research proposals and funding initiatives.
Additional responsibilities include communicating complex research findings to technical and non-technical audiences, supporting departmental research activities, participating in institutional committees where necessary, and ensuring compliance with health and safety policies. The role offers opportunities to work in a collaborative and interdisciplinary research environment that engages closely with industry partners and international research initiatives.
WMG at the University of Warwick is home to more than 800 staff and delivers globally recognized education and research programmes in engineering, technology, and management. The department maintains strong partnerships with industry and provides a dynamic environment for innovative research and professional development.
Eligibility Criteria:
PhD in a relevant discipline such as Electrical Engineering, Power Systems, Energy Systems Engineering, Control Engineering, Renewable Systems Engineering, or a closely related field, or near completion of a PhD.
Candidates who have not yet received their PhD may be appointed initially at Research Assistant level and promoted to Research Fellow upon award of the degree.
Demonstrated ability to conduct independent research and produce high-quality academic outputs.
Required Expertise/Skills:
Strong computing and programming skills across multiple languages and environments.
Experience developing predictive deep learning or data driven models for forecasting and analysis.
Expertise in analysing and managing large scale datasets, including manufacturing or experimental datasets.
Knowledge of battery datasets across multiple scales and data types is desirable.
Familiarity with AI technologies, including emerging agentic AI approaches for autonomous decision making and system orchestration.
Experience designing data platforms, dashboards, or data management frameworks.
Strong analytical, problem solving, and research communication skills.
Ability to collaborate effectively with multidisciplinary teams across academia and industry.
Salary Details: £35,608 - £46,049 per annum.
Candidates without a completed PhD may be appointed at Research Assistant level with a salary of £34,610 per annum until the PhD is awarded.