UNIVERSITY OF READING - RESEARCH POST - Analysis of energy use in UK
households.
Post Title: CaRB – Social Statistician
Closing Date: 04/09/2006
Reference Number: R0667
Post Type: Full-time, fixed-term for 27 months (nominally 1 October 2006 to
31 December 2008)
Salary: Grade RA1A £20,044 - £26,470 per annum (pay award pending)
(depending on experience)
URL: http://www.info.rdg.ac.uk/newjobs/details.asp?RefernceNumber=R0667
Contact Details:
Application forms and further particulars are available from Human
Resources, The University of Reading, Whiteknights, PO Box 217, Reading, RG6
6AH, telephone 0118 378 6771 (voicemail). Application forms are also
available in Word/RTF format from www.reading.ac.uk/Jobs . Closing date for
applications 4 September 2006. Please quote Reference Number.
Description:
Be the lead analyst in a £2.85M research consortium.
We are looking for an applied social statistician or quantitative social
scientist to lead the analysis of one of the UK’s major current energy end
use studies. This post offers an excellent opportunity for a social
statistician to play a significant role in a major project and quickly
establish an academic reputation in this rapidly growing field.
The five-university ‘Carbon Reduction in Buildings’ (CaRB) consortium, part
of the UK’s ‘Carbon Vision’ programme, is gathering social and technical
data from households across the UK. The successful applicant will take a
lead in the analysis of this primary data, and in the analysis of secondary
data sets relevant to the project.
A major output of the project is construction of a particular form of
multivariate statistical model called a Bayesian Belief Network for use by
energy efficiency policy makers and programme implementers. Preparatory work
to the construction of this model requires data analysis using a suite of
methods ranging from regression to Cluster Analysis and Principal Components
Analysis.
The successful applicant is likely to hold an MSc with significant
statistics training or a PhD with a significant data analysis component.
They will have an applied knowledge of the forms of multivariate analysis
mentioned above, and experience using SPSS or comparable statistical
software.
Informal enquiries about the position may be made to Dr David Shipworth at
[log in to unmask] or on (0118) 3787177
__________________________________________________________
Dr David Shipworth
Reader in Sustainable Built Environments
Coordinator: Sustainable Urban Environments Research Division School
Director of Postgraduate Research Studies School of Construction Management
and Engineering The University of Reading
Ph: +44 (0)118 378 7177
'All models are wrong, but some are useful.' (George Box)
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