I am forwarding this on behalf of Prof. Gwilym Pryce, [log in to unmask] Please send any enquiries
or applications directly to him, not me or the list.
UNIVERSITY OF GLASGOW
FACULTY OF LAW, BUSINESS AND SOCIAL SCIENCES
DEPARTMENT OF URBAN STUDIES
QUANTITATIVE RESEARCH ASSISTANT
£29,139 - £32,796 PER ANNUM (EPSRC FUNDED, 3 YEAR POST)
REF NO 13888/DPP/A3
A researcher with a strong statistical background is required to assist with the development of socio-economic models of the impacts of extreme weather events (particularly flooding). The candidate will have a background in a quantitative discipline and will work with a large interdisciplinary research consortium funded by the ESRC to explore the local effects of climate change.
For an application pack please see our web site at www.gla.ac.uk or write quoting Ref: 13888/DPP/A3 to the Recruitment Section, Human Resources Services, University of Glasgow, Glasgow G12 8QQ. Closing date: 18th January 2008. Interviews to take place in the week beginning 4th February 2008. The post is available from February 2008 until February 2011.
DETAILS OF THE POST:
The goal of this £1.6m, 3 year EPSRC-funded project is to construct statistical models of the relationship between flooding/extreme weather events and socio-economic variables (such as house prices, employment, crime, SMEs, health) at the neighbourhood level. The researcher will help estimate these relationships and simulate the socio-economic impacts of future weather scenarios. The aim is to develop tools that will allow business, government and local planners to understand better the local implications of climate change scenarios.
The researcher will undertake the following core tasks:
* collate, survey and review the relevant literature.
* acquire, collate, restructure, clean, and analyse a variety of geo-coded datasets.
* assist in the development of conceptual and empirical models.
* liaise and collaborate with members of the CREW (Community Resilience to Extreme Weather) project team across the UK in order to achieve project objectives.
* help with writing-up and dissemination.
and will have the following essential attributes and experience:
* a good degree or equivalent (2:1 or 1st) in a quantitative discipline (e.g. economics, geography, statistics, mathematics, or engineering).
* a PhD (or equivalent research experience) awarded in a relevant discipline or field. (applications with lesser experience will be considered at grade 6).
* extensive knowledge of applied statistical methods (particularly regression analysis), and of writing syntax files in appropriate software (particularly Stata and/or SPSS).
* 1-2 years postdoctoral research experience of working with large data sets (data collation, cleaning, and merging) and constructing statistical models (applications with lesser experience will be considered at grade 6).
University of Glasgow link for this post is: