Research Associate in Statistics for Natural Hazards, - Ref:1288815

Research Associate in Statistics for Natural Hazards, - Ref:1288815

Posted by Victoria Nicholl on Mon, 22/10/2012 - 10:05

Applications are invited for the position of Research Associate, to be
held jointly in the UCL Department of Statistical Science and Institute
for Risk and Disaster Reduction. The postholder will conduct research in
Statistics related to the £2m interdisciplinary consortium RACER (Robust
Assessment and Communication of Environmental Risk) funded by the
Probability, Uncertainty and Risk in the Environment (PURE) program of
the Natural Environment Research Council (NERC). The research will focus
in particular on models for seismic and tsunami hazards and involves
using state-of-the-art statistical methodology for uncertainty
assessment and calibration of computer codes.

Candidates should hold or be close to completing a PhD (or equivalent
qualification) in statistical methodology or applied statistics. It is
essential that the successful candidate will have experience of Bayesian
methods and uncertainty quantification of complex computer models.

The post is available from January 2013 (or as soon as possible
thereafter) and is initially funded for 36 months. Salary (inclusive of
London allowance) will be Grade 7 of the UCL salary scale
(32,055-33,826GBP per annum). If the successful candidate has not yet
been awarded their PhD, the appointment will initially be made as
Research Assistant on Grade 6 (28,057-29,585GBP per annum), and the
appointee will be regraded to Research Associate on completion of the PhD.

Further particulars including a job description and person specification
for the post can be accessed at
http://www.ucl.ac.uk/statistics/department/jobs. Informal inquiries
regarding the vacancy may be addressed to Dr Serge Guillas,
email:s.guillas@ucl.ac.uk, tel: +44(0)20 7679 1867. For any queries
regarding the application process please contact Dr Russell Evans,
email:russell.evans@ucl.ac.uk, tel: +44 (0)20 7679 8311.

Closing Date: 3 December 2012