Location: | Bristol |
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Salary: | £35,333 to £39,745 |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 24th January 2023 |
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Closes: | 22nd February 2023 |
Job Ref: | ACAD106590 |
The role
You will lead the development of novel reduced order battery models, including the development of experimental parameterisation processes and parameter extraction processes in collaboration with other researchers in the Faraday Institution’s Multiscale Modelling consortium. You will undertake research into the existing state-of-the-art methods for reduced order modelling and apply the methods to model the operation of a lithium-ion cell. You will develop computationally efficient methods to store nth-order parameter sets – neural networks have been identified as a potential means to efficiently interpolate across a multi-dimensional system. As part of the role, you will design parameterisation experiments which allow the full operation of the lithium-ion cell to be characterised in a timely manner.
Your research findings will integrate with complementary research being led at other institutions within the Multiscale Modelling consortium across the UK. As part of this, you will frequently be presenting your research findings to working groups of battery researchers and academics, as well as disseminating key findings at UK/international conferences and through journal publications. The research undertaken will contribute towards the development of faster, more accurate battery models that will have applications across academic research and in the expanding battery industry, particularly with regard to enhancing the performance of battery management systems (e.g. for electric vehicles).
What will you be doing?
Research Responsibilities
Administration Responsibilities
You should apply if
Essential
Desirable
Additional information
For informal queries please contact Alastair Hales, a.hales@bristol.ac.uk
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