Research Fellow (109437-0724)

Location: University of Warwick Campus, Coventry

Duration: Ending 31 August 2025

About the Role

For informal enquiries, please contact Subhash Lakshminarayana (Associate Professor) at subhash.lakshminarayana@warwick.ac.uk.

This is a full time (36.5hrs/week) fixed-term contract for up to 12 months, finishing no later than 30 September 2025.

This is an exciting opportunity join the Cyber-Physical Systems Security Laboratory within the School of Engineering at the University of Warwick.

We are seeking to appoint a Research Fellow for the project named ‘CLADDED: A Cross-Layered Data-Driven System for Electric Vehicle Charging Stations Attack Detection’ led by Principal Investigator, Dr Subhash Lakshminarayana.  

This role involves undertaking research for cyber security of EV charging systems, to support the work of the School of Engineering and develop and enhance its reputation, both internally and externally.

The project will develop a novel security solution that can "detect" and "localise" malicious charging/discharging activity due to cyber-attacks. Specifically, CLADDED will develop a machine learning (ML) based toolbox that continuously monitors user activity patterns (e.g. charging patterns, arrival/departure times, etc.) and power grid’s physical signals (e.g. charging power, voltages, etc.) in real-time to detect anomalous charge/discharge activity.

We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so.  

About You  

We are seeking a highly qualified individual with a minimum 2.1 honours degree in a relevant subject and a PhD (or near completion) in Electrical Engineering or a closely related discipline.

The ideal candidate will have research experience in power grid security/optimization/energy markets, and the application of machine learning to power grids/cyber-physical systems.

You will have strong communication skills including the ability to communicate effectively in English, both verbally and in writing. You will also have good IT skills including Microsoft Office and proven ability to use IT to write technical research papers and presentations.

You will have a developed research profile with the ability to publish high quality research.

It is desirable that you have strong experience in machine learning with coding skills in Tensorflow/Pytorch.

For further information regarding the skills required for this role please see the personal specification section of the attached job description.

If you are near submission or have recently submitted your PhD but have not yet had it conferred, any offers of employment will be made as Research Assistant at the top of level 5 of the University grade structure. Upon receipt of evidence of the successful award of your PhD, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure. 

CLOSING DATE: Sunday 28 July 2024 at 11.55 pm

Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the Apply button.

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