Modelling Household Energy Demand

Salary: up to £37,394

The WholeSEM project is a four-year, £5.7 million collaboration between the Universities of Surrey and Cambridge, UCL and Imperial College funded by EPSRC to develop, integrate and apply models of future energy supply and demand in collaboration with stakeholders in academia, government and industry in the UK and internationally. For further information about the consortium please visit .

The work at Surrey focuses on understanding and modelling energy related practices and demand in households, and on processes of innovation in the energy sector. It is located within the Centre for Research in Social Simulation (CRESS, http://cress.soc.surrey.ac.uk), one of the world leading centres for the application of agent-based modelling to social simulation.

We now have available a two-year full-time post, with the possibility of extension, for a researcher to take the lead in developing agent-based models of household energy demand and of processes of innovation in the energy sector, integrate these with other models of energy demand and innovation, assist with the installation of energy monitoring in a sample of households to collect live data, and link this work with other modelling activities in the consortium and internationally.

An excellent publication record, the ability to innovate and the ability to work in a highly multidisciplinary environment are requirements for this post. There will be opportunities for networking with stakeholders and with the academic community and to develop skills in proposal writing.

Desirable technical skills for the post include knowledge of agent-based simulation, programming in NetLogo, object-oriented programming, and experience in using databases (e.g. MySQL). A strong interest in and preferably some formal background in the social sciences are also highly desirable.

For informal discussions about the post, contact Professor Nigel Gilbert at .

Closing Date: Sunday 21 September 2014
Interview Date: Monday 29 September 2014
Reference: 059514

For more information and to apply online, please go to .

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