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Senior Research Associate: Machine Learning applied to electric battery modelling

School of Computing and Communications
Salary:   £34,804 to £40,322
Closing Date:   Wednesday 30 June 2021
Interview Date:   To be confirmed
Reference:  A3310-R

The School of Computing and Communications at Lancaster University is looking to employ for the needs of the Lancaster Intelligent Robotic and Autonomous systems (LIRA) Centre a Senior Research Associate until 31st March 2023. You will be in charge of the development of new methods for machine learning from experimental data of Lithium-ion batteries. 

We invite applications from enthusiastic individuals with a PhD and experience in relevant aspects of Computer Science, Mathematics or Electrical Engineering. You must be able to demonstrate a research background in the area of machine learning and mathematical modelling, and have excellent programming skills. Familiarity with the technologies and tools used in the physical modelling of batteries will put you at an advantage. We will also value highly your ability to learn rapidly and to adapt to new technologies beyond your current skills and expertise.

Your work will primarily support LIRA’s research on machine learning and, more specifically, within the “Multi Scale Modelling” consortium (led by Imperial College London) of The Faraday Institution on experimental data from Lithium-ion batteries. Your findings will also feed into the MSM project. 

Salary levels will depending achievements and experience to date. 

You will join us on an indefinite contract however, the role remains contingent on external funding which, at this time is due to come to an end on 31 March 2023

 Informal enquiries to Prof. Plamen Angelov, email:

Surrounded by three national parks and the Irish Sea, Lancaster is a great place to work and live. We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address equality issues in higher education and research. We warmly welcome applications from people in all diversity groups. 



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The University provides an environment that strongly supports the individual needs of each employee, whilst promoting the importance of wellbeing for all our colleagues. We have a range of support networks available for our employees, and more information on these can be found on the ‘Working at Lancaster’ information page.


We are committed to family-friendly and flexible working policies on an individual basis. The University recognises and celebrates good employment practice undertaken to address all inequality in higher education.


We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.



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