We're hiring a researcher in Econometric Modelling for Energy & the Environment
10 February 2017
UCL ISR is looking to hire a Research Associate/Senior Research Associate in Econometric Modelling for Energy and the Environment
The UCL Institute for Sustainable Resources (UCL ISR) is the UCL’s mechanism for carrying out multidisciplinary research at the intersection between energy and the environment. We are seeking to appoint a Research Associate / Senior Research Associate in Econometric Modelling for Energy and the Environment to support the on-going development of the Institute’s research into applied econometrics. The post is initially funded for 2 years, with the expectation of extension based on available funding.
The post holder should have excellent ability to deploy several data analysis techniques to model drivers of a number of environmental impacts, including the impacts of energy consumption and production and the environmental impact of trade of commodities. They should also be able to produce academic papers for publication in economic and multi-disciplinary journals.
Key Requirements
A first and higher degree, and a PhD (or commensurate experience) in a data analysis discipline, e.g. econometrics, economics, statistics, machine learning or engineering. The capacity to implement several data analysis techniques, the ability to conduct research and publish in international journals. We are looking for a person with excellent analytical skills, a passion for data analysis, with the ability to plan and prioritise effectively to manage workload and work to deadlines. The successful applicant will help us to build on our current excellent fund-raising activities whilst forming and maintaining excellent partnerships with relevant stakeholders.
Further Details
If you have any queries regarding the vacancy or the application process, please contact Rosanna Seels, r.seels@ucl.ac.uk , or 020 3108 5906.
If you have specific questions about the role please contact Dr Paolo Agnolucci, p.agnolucci@ucl.ac.uk , or 020 7679 9050.
Closing Date: 12 Mar 2017
Interview date: 24 March