Research Fellow, Battery (Degradation) Data Curation and Modelling (111411-0326)

Informal Queries

• For informal queries, please contact  Mona Faraji Niri (Associate Professor) at Mona.faraji-niri@warwick.ac.uk

Flexible Working

• We will consider applications for employment on a part-time or other flexible working basis (e.g. job share), despite the position being advertised as full-time.

In WMG, we are undertaking research into how traditional Li-ion battery cell design can be optimised through the application of systems engineering, component modelling and data science. Creating new models and predictive tools to improve battery performance, lifetime and safety.

RaRR is a new project commenced in WMG in October 2025, funded by EPSRC and HVMC, with a focus on second-life battery degradation understanding, especially for micro-mobility systems. It also looks at building the capability of management of large volumes of multimodal data by designing and validating efficient and scalable data collection, curation, usage (e.g. for AI) and sharing strategies applicable to R&D environments such as WMG.

Therefore, the Battery Modelling team in WMG seeks a postdoctoral researcher to develop a data capture, storage and reuse strategy, as well as highly accurate and transferable RUL/SoH models for batteries from segregated sources and varying quality at large scale. The candidate will also lead the validation of the methodology's performance using real data.

The ideal candidate blends data analytics and big data management, AI modelling and validation skills, and is comfortable engaging with academia, industry partners, and software teams. 

About You  

Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the 'Apply' button.

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