Research Fellow - Agent Based Modelling

    http://www.jobs.ac.uk/job/ABN113/research-fellow-agent-based-modelling

    The IESD is a research-led multidisciplinary group of specialists whose aim is to make a worthwhile and significant contribution to sustainable development through research, consultancy and education.

    A researcher is sought to work on an exciting £1.25M research project Complex Adaptive Systems, Cognitive Agents and  Distributed Energy (CASCADE): a Complexity Science-Based Investigation into the Smart Grid Concept led by De Montfort University in partnership with Cranfield University. The project is funded (ranked first) by the EPSRC under their Energy Challenges for Complexity Science programme.  It has a number of other industrial and public body sponsors including E.ON UK and the Commonwealth Scientific and Industrial Research organisation (CSIRO), Australia’s national research agency. Its aim is the development of an advanced agent-based modelling framework that will radically improve on existing models of the electricity grid - including enhancement of technical, economic and end-user aspects of electricity supply - to enable the possible consequences of smart grid evolution to be assessed and disseminated to policy makers, service providers and end-users.

    You will work alongside acknowledged experts in the field of complexity science and agent based modelling and with fellow researchers working on socioeconomics, electrical engineering and multi-agent learning aspects of the project and will play a leading role in the design and development of the framework. They will also be required to participate in the development of scenarios, deployment of the models and dissemination of the results in an international context.

    The project is interdisciplinary and a wide range of qualifications will be considered: computer science, engineering, physical sciences, computational social science or economics, operational research,  applicable mathematics. A good honours degree is required and preference will be given to candidates with a PhD, or close to completion (Equivalent qualifiactions accepted). You must be able to demonstrate large scale object oriented design and programming experience, preferably Java based. Some prior acquantance with agent based modelling (preferably Repast Simphony) is highly desirable. Previous experience in either a sustainable energy or a GIS related context would be an advantage.

    For further information about the Institute, other vacancies and higher degree studentships, see www.iesd.dmu.ac.uk.