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:
a.. collate, survey and review the relevant literature.
b.. acquire, collate, restructure, clean, and analyse a variety of
geo-coded datasets.
c.. assist in the development of conceptual and empirical models.
d.. liaise and collaborate with members of the CREW (Community Resilience
to Extreme Weather) project team across the UK in order to achieve project
objectives.
e.. help with writing-up and dissemination.
and will have the following essential attributes and experience:
a.. a good degree or equivalent (2:1 or 1st) in a quantitative discipline
(e.g. economics, geography, statistics, mathematics, or engineering).
a.. a PhD (or equivalent research experience) awarded in a relevant
discipline or field. (applications with lesser experience will be considered
at grade 6).
b.. extensive knowledge of applied statistical methods (particularly
regression analysis), and of writing syntax files in appropriate software
(particularly Stata and/or SPSS).
c.. 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).
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