Research Associate - Design OptiMisation for Efficient Electric Vehicles
Research Associate - Design OptiMisation for efficient electric vehicles based on a User-centric approach - DOMUS
Engineering, Environment & Computing
£31,611 - £40,002 per annum
Full Time, 30 Months Fixed Term Contract
We invite applications from researchers to join a vibrant research team working on a Horizon 2020 project aimed at reducing the overall energy consumption of future electric vehicles (EV) in order to increase the 25% the electric range for different ambient conditions. This will be achieved by understanding in depth the comfort perception of EV users before developing reliable methodologies for designing and assessing the full vehicle context from a user-centric perspective, investigating radically new cabin designs and delivering innovative components, systems and control strategies to meet customer expectations.
The Research Associate will work within the environment of the Faculty of Engineering, Environment and Computing at Coventry University, which has a strong tradition of business-focused education and research, working with some of the biggest names in the industry, including CRF, Volvo, Toyota, DENSO.
You will work on a specific work package to provide an efficient virtual method for the user-centric assessment of the energy use of a car cabin and climate control system while ensuring it meets expectations for comfort and safety. As part of Coventry University’s multidisciplinary team, you will contribute towards the definition of a user-centric assessment framework that will be used by other work packages; the definition of a holistic model of passenger comfort that is based on an existing (or slightly modified) thermal comfort, and the production of a highly efficient, low-fidelity 1D model of the thermal environment within the car cabin.
You will also be expected to support the administration of the grant, liaise with European partners and stakeholders to plan logistics and workshops, carry out literature searches, support the preparation of grant applications, and contribute to the drafting of technical reports, conference and journal papers.
You will have a PhD in data sciences or machine learning and a strong mathematical background. Experience of statistical data processing techniques is essential, as well as experience in the management of large and complex data sets and empirical models development. Ideally, you would have some experience of experimental work and data gathering.
You will also have excellent written and oral communication skills and a strong background in Computer Sciences. Advanced programming proficiency is essential.
For informal enquiries please contact: James Brusey, Reader in Pervasive Computing email@example.com +44 (0)24 77 659184
Closing date: 18th February 2018
To apply, please click the 'apply button'.