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Senior Research Specialist –Extreme Weather/Precipitation Job ID 2013-4159 # Positions 1 Location US-MA-Norwood
Work Location Office Location Employee Type Regular Full-Time Category Research - Research Scientist More information about this job: Overview - External:
FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.
Responsibilities - External:
The person in this position will be responsible for planning and conducting research regarding the extreme weather events with a focus on the simulation of synthetic precipitation events for local to global scale flood modeling, and subsequent property losses.
He or she will be responsible for the evaluation, implementation, and development of techniques, computer models or experiments related to property loss.
Other responsibilities involve analyzing data, including the development of new techniques to identify trends in intensity, frequency and other relevant attributes; preparing reports and presentations that describe the results of studies completed or in progress, the relevance of the results for loss prevention and risk management, and development and implementation of prevention and mitigation techniques; development of plans for strategic research that will lead to measurable, significant improvements in the ability to estimate future property loss.Qualifications - External:
This position requires a PhD degree; significant research record in numerical weather/climate models and simulations, quantitative precipitation and probabilistic ensemble.
Solid background in probability and statistics, atmospheric dynamics and moisture processes, and sub-grid scale parameterization schemes.
Strong experience and knowledge of observational and reanalysis precipitation products, down-scaling techniques, data assimilation and land surface modeling; experience with simulation of synthetic weather events, and model physics, principles, setup, calibration, validation and sound analysis practices; proven technical programming and modeling experience.
Applicants must have demonstrated project management abilities and excellent written and verbal communication skills.
Desired to have experience and knowledge of hydrology, GIS programming and applications, and parallel computing.
The job title depends on qualifications and experience.
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