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 regarding structural and non-structural components response and damage induced by natural hazards with emphasis on wind, 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.
The position requires a PhD degree; significant research record related to structural mechanics and dynamics, with emphasis on wind response and vulnerability functions for structural and non-structural components; solid background in CFD, and/or finite element modeling of structural and mechanical systems; proven technical programming and modeling experience; strong knowledge of model physics, principles, setup, calibration, validation and sound analysis practices. Applicants must have demonstrated project management abilities and excellent written and verbal communication skills.
Desired to have solid background in probability and statistics, and parallel computing.
The job title depends on qualifications and experience.