Research Fellow in Lithium-Sulfur Battery Modelling

Cranfield, United Kingdom
£32,656 to £35,399 per annum with additional performance related pay up to £45,499 per annum
02 May 2019
End of advertisement period
02 Jun 2019
Contract Type
Fixed Term
Full Time

School/Department School of Aerospace, Transport and Manufacturing
Based at Cranfield Campus, Cranfield, Bedfordshire
Hours of work 37 hours per week, normally worked Monday to Friday. Flexible working will be considered
Contract type Fixed term contract
Fixed Term Period Until 31 March 2021
Salary £32,656 to £35,399 per annum with additional performance related pay up to £45,499 per annum
Apply by 02/06/2019  

Role Description

Applications are invited for a postdoctoral research fellowship, working on an exciting vehicle electrification project using lithium-sulfur batteries.  This project is funded by the Innovate UK, and is being undertaken with partners from the battery supply chain and the automotive sector.  The project will involve the extension of existing battery management algorithms to capture battery degradation, the incorporation of state-of-the-art zero-dimensional electrochemical models, and the development of robust parameter-tuning software suitable for an industrial development environment.  Algorithms will be demonstrated on real battery packs hosted by an industrial partner.

The research fellow will be expected to exploit the latest research trends on fast reduced-order electrochemical modelling, developing techniques for parameterizing these electrochemical models from data and using them within state estimators to assessing state of charge and state of health in practical applications.  The research fellow will aim to produce novel and significant research suitable for publication in leading academic journals and at international conferences.

Applicants must hold a PhD (or close to completion) in electrochemistry, engineering or a relevant subject and have prior experience of electrochemical modelling, laboratory work and MATLAB programming. You should hold a primary degree 2:1 or better at BEng (Hons) level (or equivalent Master’s). Relevant algorithm development (e.g. Kalman filters, ANFIS) and practical laboratory work and experience of software development in MATLAB/Simulink is also advantageous.

The post is available immediately. The post will be offered on a fixed end-date basis, terminating on 31 March 2021.

For an informal discussion, please contact Dr Daniel Auger, Senior Lecturer in Vehicle Systems and Control on (E);, or Dr Abbas Fotouhi, Lecturer in Advanced Vehicle Engineering on (E);

At Cranfield, we value Diversity and Inclusion, and aim to create and maintain a culture in which everyone can work and study together harmoniously with dignity and respect and realise their full potential. We actively consider flexible working options such as part-time, compressed or flexible hours and/or an element of homeworking, and commit to exploring the possibilities for each role.