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Research Fellow - Multi-Physics (Electrochemical-Thermal-Mechanical) Modelling of Battery Systems (110399-0325)

University of Warwick - WMG

Location: Coventry, University of Warwick
Salary: £35,116 to £45,413 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 25th March 2025
Closes: 8th April 2025
Job Ref: 2678

For informal queries, please reach out to Mona Faraji Niri (Associate Professor) at mora.faraji-niri@warwick.ac.uk.

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.

We are therefore seeking a Research Fellow to join our team.

The RF will explore the boundaries of multi-physics and data-driven approaches. RF will be supporting the academic investigators to coordinate all aspects of the research, including experimental design, data capture, model creation and validation.

You will have unique access to the resources of our Energy Innovation Centre (EIC) and bespoke high-performance computing facilities.

The post is funded by BATTWin -- a European Council’s collaborative project with various partners in the EU -- as well as HVM Catapult in WMG. 

The overall aim of the project is to investigate: (i) the underlying reasons why current Li-ion battery electrode performance in practice falls well short of theory due to the manufacturing process limitations, (ii) novel approaches to design cells, especially with specific safety criteria, (iii) how multi-scale models can be leveraged for the performance prediction in manufacturing and afterwards. 

We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so. 

About You

You will need a PhD in a relevant discipline, along with excellent computing and program skills in multiple languages and environments. You will also need a problem-solving ability to manage and analyse manufacturing datasets and the ability to publish high-quality academic outputs.

AI/ML and advanced data processing for tabular, time series and image data are required core skills, Battery and manufacturing knowledge are desired.

For further information regarding the skills required for this role please see the personal specification section of the attached job description.

If you are near submission or have recently submitted your PhD but have not yet had it conferred, any offers of employment will be made as Research Assistant at the top of level 5 of the University grade structure. Upon receipt of evidence of the successful award of your PhD, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure

CLOSING DATE: Tuesday 08 April 2025 at 23:55 (GMT) 

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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