The Stockholm Environment Institute (SEI) is an independent international research institute and has been engaged in environment and development issues at local, national, regional and global policy levels for 30 years. The SEI centre at the University of York is one of the constituent offices of the organisation, and sits within the Department of Environment and Geography. Our goal is to bring about change for sustainable development by bridging science and policy. We do this by providing integrated analyses that support decision makers. Our researchers are gathered into thematic teams. The successful candidate will join the Sustainable Consumption and Production Group to support their work within the recently-awarded EU H2020 project "CAScading Climate risks: towards ADaptive and resilient European Societies" (CASCADES).
This 4-year project, led by the Potsdam Institute for Climate Impact Research, Germany, aims to understand the conditions under which climate risks propagate beyond their immediate geographical and temporal location in ways that may affect European stability and cohesion. The Research Associate, alongside colleagues from the SCP Group at SEI York, will contribute primarily to work which aims to explore the trade and supply-chains that connect Europe to the rest of the world.
You must have a first degree and PhD in relevant area, particularly natural science, geography, sustainability science, economics or mathematics and knowledge of a range of research techniques and methodologies, including computational/mathematical modelling approaches and their application to empirical data in order to engage in high quality research. Knowledge of computable general equilibrium, partial equilibrium, multi-regional input-output, material flow or network analysis would be an advantage, as would knowledge of climate, trade and consumption policy and Geographic Information Systems. You must have excellent computer literacy, the ability to conduct literature reviews, the ability to develop projects and proposals, along effective communication, publication and collaboration skills. Experience of applying complex mathematical models and handling large datasets is essential, as is experience of working independently and in collaboration with others. Direct experience of trade- and supply-chain-data analysis, mixed-methods (qualitative and quantitative) research and geospatial analysis would be an advantage. You must exhibit high attention to detail, a collaborative ethos and positive attitude to colleagues, the ability to plan work effectively, and enthusiasm for the subject of your research. A commitment to personal development is required. Willingness to travel is desirable.
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