|Salary:||£27,831 to £32,236|
|Placed On:||5th June 2019|
|Closes:||7th July 2019|
Interview Date: Monday 22 July 2019
We are seeking to appoint a Research Associate to develop new methods of data-based fault detection, predictive maintenance, and lifetime estimation of Lithium Ion Batteries. Via the Innovate-UK funded “Project Pozibot”, the work will feed into a new “insurtec” product that uses real-time data from battery packs to provide those packs with an extended product warranty. Backed by the London insurance market, such warranty is expected to remove barriers that currently limit the market shares of small companies that offer electric vehicles and stationary energy storage systems.
Project Pozibot is funded under Innovate-UK’s call “Transforming accountancy, insurance and legal services with AI and Data”. Our consortium is jointly led by CNC Asset and Lancaster University. Further partners are Altelium, Delta Motor Sport, Brill, and Quantum Base.
You will work primarily with data, developing new and experimenting with the latest AI and machine learning models and algorithms. The data will come from battery cells, modules, and packs. Initially, they will be operated under laboratory conditions but with varying charge/discharge patterns. Further into the project, the data will come from the battery management systems of battery packs that are operated in “real” stationary storage applications and in Hardware-in-Loop simulators that emulate electric vehicles.
We invite applications from enthusiastic individuals with experience in relevant aspects of Computer Science or Electrical Engineering. You must be able to demonstrate a research background in the area of AI and machine learning, 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.
The School of Computing and Communications offers a highly inclusive and stimulating environment for career development, and you will be exposed to a range of further opportunities over the course of this post. 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 gender equality in higher education and research.
This position is effective as soon as possible for a period of 17 months.
Informal enquiries to Prof. Plamen Angelov, email: email@example.com or telephone +44 1524 510391.
We welcome applications from people in all diversity groups.
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