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Job: Research Associate in Trade Analysis, University of Oxford, UK


Advertiser's description (via the School of Geography and the Environment, University of Oxford)

We are seeking a Research Associate to work on a project on health and environmentally sensitive trade agreements. This is an exciting opportunity to join a multi-disciplinary research project conducted across various institutions in the UK and Germany. The research questions are how trade agreements have influenced diets between the trading partners, what impacts these changes have had for dietary risks and mortality, and for environmental impacts.

The successful candidate will join a team of applied economic and health modellers. You will contribute to the research project by conducting literature reviews on trade analysis, compiling and describing trade data, devising model scenarios, analysing model outputs and describing results, and writing manuscripts. The work can be undertaken remotely or onsite at the participating institutions, and you will have the opportunity to undertake research visits.  

You must hold, or be close to completion of a PhD/DPhil in a relevant field (e.g., economics, political science, public health, environmental science), some familiarity with applied economic analyses of trade agreements including some technical knowledge, proficiency in data analyses and coding languages, ability to synthesize diverse literatures spanning economics, public health, and environmental science, as well as excellent writing skills with which you can describe technical analyses in an understandable and engaging fashion.  

Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in SoGE. SoGE and SSEE are committed to equality and value diversity.

The project is initially limited to one year, but there will be opportunities for extension in related roles in the field of food systems analysis. 


Read more here. Applications are open until 21 September 2022.