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Research Associate/Fellow in Research and Development in Energy, Mobility and Cities: Vehicle-to-Everything (V2X) Systems (fixed term)


Location:  University Park
Salary:  £28,762 to £33,314 per annum (pro-rata if applicable) depending on skills and experience.
Closing Date:  Thursday 02 February 2023
Reference:  ENG011923

An exciting opportunity has arisen for an ambitious [R(1] researcher to join our team working on an Innovate UK funded project, EV-shAIR, on Vehicle-to-everything (V2X) bi-directional charging. The University of Nottingham’s team is one of 4 organisations that make up the project’s consortium. 

 The UK government has committed to increase its uptake of electric vehicles (EVs), with nearly all cars and vans to be zero emission by 2050. However, a number of challenges need to be overcome in order to enable the transition to electric mobility and to help decarbonise the energy systems. 

 The terms vehicle-to-grid (V2G), vehicle-to-building (V2B) or vehicle-to-everything (V2X) refer to the potential of using bidirectional charging to charge and discharge EVs. This capability adds a welcome link between the transport and energy systems through increasing storage capacity, which can be accessed at short demand.

 Our EV-shAIR project consortium is developing business models that will enable the creation of value from V2X technologies for the benefit of the electricity operations at airports by using the collective battery capacity of parked EVs. Data will be used to help optimise the system to maximise the value of this distributed storage for both the airport and customers while managing the impact on the energy network. 

 This opportunity is for a research fellow who can help deliver against this goal. Therefore, it is essential that candidates have knowledge, skills and experience on data acquisition, data handling, system modelling, machine learning algorithm development and/or coding, and undertaking research in energy, people and mobility. Candidates must hold or be about to obtain a PhD in a relevant science/engineering discipline, such as transport/geospatial engineering, computer science, machine learning, sustainable energy technologies, movement and tracking.

 The successful candidate will also possess excellent standards of written and spoken English, skills in writing reports and presentations, ability to work as part of a multidisciplinary team within the group and within the project, and enthusiasm, motivation and drive to embed new knowledge and to take ownership of the relevant work package within project. Relevant industry experience (including work placements) is desirable but not essential. 

The post is offered on a fixed term contract for 6 months if started before 01 March 2023, after this date the role will be fixed term to 31 August 2023. Hours of work are full time (36.25 hours per week). Job share arrangements may also be considered.  

Informal enquiries may be addressed to Mark Gillott, email:
Please note that applications sent directly to this email address will not be accepted.

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