Senior Research Scientist-Atmospheric Science

Employer
FM Global
Location
Boston, Massachusetts (US)
Salary
depends on experience
Posted
Aug 27, 2018
Closes
Oct 26, 2018
Ref
2018-7277
Education Level
PhD
Job Type
Full-time
Relocation Cost
Paid

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.

The person in this position will be responsible for planning and conducting research in atmospheric hazard modeling to evaluate, develop, and implement new techniques and models for tropical/extra tropical/severe convective storms, hail, tornadoes, and extreme precipitation that can lead to property losses.

Work will include preparing reports and presentations describing the results of studies completed or in progress, the relevance of the results for loss prevention and risk management, and the development and implementation of loss prevention and mitigation techniques; and developing plans for strategic research that will lead to measurable, significant improvements in the ability to estimate future property losses.

The position requires a PhD degree and a solid research record in atmospheric science or related field demonstrating a broad physical understanding of atmospheric processes and experience using and combining large atmospheric data sets in various formats; strong programming and numerical analysis skills. Applicants must have demonstrated project management abilities and excellent written and verbal communication skills.

Previous experience with modeling wind and precipitation from tropical cyclones, analysis of related data, and generation of synthetic event sets is a plus. Desired to have a sound background in statistics and previous experience with high-performance computing.

The job title depends on qualifications and experience.

 

 

 

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