Job offer in london Research Assistant/Associate in reduced order modelling for estimation and control of high performing hybrid packs at Imperial College London
Campus: South Kensington, London
A frontrunner in electrochemical storage research, the Electrochemical Science & Engineering Group is looking to hire a modeller on their WiZer Batteries project. Funded through Innovate UK, the strong industrial links associated with this project will provide an optimum environment to build relationships for the enhancement of a career in batteries research.
In order to design high performance hybrid packs, models are required to estimate the state of high energy super-capacitators and batteries. Physics-informed reduced order modelling allows us to estimate and control (including the necessary electrochemical, thermal, mechanical effects) of degradation.
Duties and Responsibilities
- You will be identifying and developing reduced order models of lithium-ion batteries and supercapacitors from physical models.
- You will be publishing high quality journals and presenting findings at national and international meetings
- You will be assisting other team members in implementing the models onto the battery management system
Skills, knowledge and experience
- You must have a degree in a Scientific, Engineering or Mathematical field (or equivalent experience). You might have a PhD in a pertinent subject however this is not a requirement.
- You should have experience of reduced-order modelling and multiphysics modelling.
- You must have some knowledge of control theory
- You will be adept at creative thinking and problem solving, and will be able to work with minimal supervision.
This is a fixed term position for up to 30 months.
Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £33,380 – £35,061 per annum.
Our preferred method of application is via our website. Please visit our website using the provided link for more information about the post and the application process.
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