February 2015
Message 66

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[Met-jobs] Mathematical modelling of natural catastrophes at RMS London: two paid internships for summer 2015

From Steve Jewson <>
To "" <>
Date Tue, 17 Feb 2015 15:30:50 +0000

Risk Management Solutions (RMS) is the world's leading provider of mathematical 
models and information related to the financial impact of natural catastrophes. 
We have a team of forty PhD scientists and engineers based in London building 
mathematical models that predict the distributions of possible damage due to 
the effects of tropical storms, extra-tropical storms, thunderstorms, 
storm-surges, freshwater floods and tsunamis. We use a combination of observed 
data, reanalysis data, numerical, statistical and engineering models and data 
assimilation. We are the pioneers in the development and application of complex 
statistical and numerical modelling methods for the quantification of natural 
hazard risk, and our risk models are the most detailed and comprehensive models 
of natural catastrophes produced anywhere in the world. Our clients include 
several hundred insurance and reinsurance companies as well as brokers, banks, 
hedge funds, regional and local governments, and multilateral agencies. 
We are trying to fill two paid internships for summer 2015 to work in our 
London offices. Current plans are that one would work on tropical cyclone 
landfall rate estimation, and the other on advanced visualisation techniques 
for cat models, although these topics may change.
Ideal candidates would be part-way through a PhD in Atmospheric Sciences, 
Meteorology, Oceanography, Applied Mathematics, Statistics, Hydrology, Wind 
Engineering, or similar. They would be used to working in a Unix or Linux 
environment, and writing their own code. They would have experience with either 
numerical models (such as AGCMs, OGCMs, CGCMs, regional models or mesoscale 
models), handling large data sets, or statistical modeling. Strong candidates 
with a different but equivalent profile would also be considered. Previous 
experience in catastrophe modeling, or specific expertise in modelling natural 
hazards, is not necessary.
If you are interested, please send an email, with a covering letter and CV, to Appropriate candidates will be invited for interview 
in London.
Many thanks,



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