Research Programmer and Data Analyst for Food System Economic Cost Modelling

<div xmlns="http://www.w3.org/1999/xhtml"> <p></p><div>Researcher in Food System Economic Cost Modelling</div><br> <div>&#160;</div><br> <div>The Food System Impact Valuation Initiative (FoodSIVI) is an academic, business, and civil society initiative that researches the economic costs of the environmental, social, and public health impacts of food systems and the economic potential of food system transformation. FoodSIVI supports public and private dialogue and decision-making by providing modelling, analysis, and advice on the economics of food system transformation. FoodSIVI will implement a new 4-year programme as part of <em>FoodCoST: Food Costing and Internalisation of Externalities for System Transition</em>, a projected funded by the EU and the UKRI under the EU Horizon scheme. The role provides an exciting opportunity to participate at the frontier of costing food system impact and network with leading international organisations working on the economics of food system transformation.</div><br> <div>&#160;</div><br> <div>You will play an important part in the delivery of the FoodCOST project and FoodSIVI programme. The main activities for this post are to build food system economic modelling capability in the ECI, undertake research in the economic costing of food system impact, apply the modelling through collaborative research with international partners, and deliver the University of Oxford&#8217;s tasks under the FoodCOST project. The role provides an opportunity to shape the development of the economic pathways for food system transformation. The role provides an opportunity to engage with an extended network of public and private organisations seeking costing data and analysis of the potential of financial and economic mechanisms to reduce food system impacts. You will apply knowledge and experience of data analysis and scientific programming to manage and run in-house environmental and costing models. The researcher will also integrate results with external modelling partners.</div><br> <div>&#160;</div><br> <div>The successful candidate will hold, or be close to completion of, a relevant PhD/DPhil and knowledge of food systems. You will have experience in data management and scientific programming. &#160;Experience with Python or R programming languages and working with spatial datasets highly preferred. Excellent communication skills, including the ability to write for publication, present research results, and represent the research group at meetings is a must. You will need to be proactive, working both independently and as part of a team, whilst managing and prioritising a busy workload.</div><br> <div>&#160;</div><br> <div>A less experienced candidate may be appointed at Grade 6, with a commensurate adjustment in either the essential criteria, responsibilities or duties.</div><br> <div>&#160;</div><br> <div>Applications are particularly welcome and encouraged from women, black, and minority ethnic candidates, who are under-represented in posts in SoGE. SoGE is committed to equality and value diversity.</div><br> <div>&#160;</div><br> <div>This is a full-time fixed term post offered for 24 months.</div><br> <div>&#160;</div><br> <div>Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application.</div><br> <div>&#160;</div><br> <div>The closing date for applications is 12:00 noon on Monday 6th November 2023, and interviews will be held week commencing Monday 13th November.</div><br> <div>&#160;</div> </div>