Post-doctoral Fellowships – Weather and Climate Risks

Employer
FM Global
Location
Norwood, Massachusetts (US)
Salary
salary & benefits included
Posted
Feb 08, 2021
Closes
Apr 09, 2021
Ref
2020-10186
Career Level
Postdoctoral
Education Level
PhD
Job Type
Fellowship
Relocation Cost
No Relocation

Exciting and interesting technical challenges await when you join a world-class research team dedicated to reducing the impact of natural hazards and climate risks! FM Global is a market leader in commercial and industrial property insurance and loss prevention, providing more than one-third of FORTUNE 1000 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 engineering and research.

The Structures and Natural Hazards research group at FM Global is looking for creative, self-motivated individuals. Selected candidates will work alongside a unique group of scientists across engineering, earth, and atmospheric sciences to protect the value of our clients' businesses. This is done by developing methods to identify hazards, assess risk, and produce loss prevention solutions that are efficient and cost-effective. The positions provide an opportunity to engage in solving real-world science and engineering problems with immediate impact. This position is for a term of up to three years, renewable each year. The role is typically focused on performing publishable work as part of a strategic research program under the mentorship of a program manager or senior research staff member(s).

Requirements:

Candidates will evaluate, develop, and implement techniques and models that will lead to impactful improvements in risk analytics and loss prevention for atmospheric and climate-related perils. Strong desire to expand their research experience beyond academia and bring expertise and innovative leadership in the following research areas:

  • Severe Weather (severe convection, hail, winter storms, nor’easters)
  • Tropical Cyclones
  • Wildfire
  • Climate Change

Required:

  • PhD degree in atmospheric or environmental science (or related quantitative field)
  • Broad physical and process-level understanding of at least one of the following core research areas: severe weather, tropical cyclones, wildfire, climate change
  • Solid knowledge of the fundamentals of climate change including uncertainties and impacts for at least two (preferably more) key perils: major precipitation, drought, wildfire, riverine/coastal flooding, sea level rise, tropical cyclones, and severe weather
  • Demonstrated experience using or developing global and/or regional climate models, analyzing output from global climate model ensembles, and combining large atmospheric datasets in formats including NetCDF, HDF, and GRIB.
  • Strong analytical skills and solid knowledge of probability and statistics
  • Hands-on experience using, developing, and evaluating statistical and numerical models
  • Experienced writing shell scripts and using APIs for process automation. Excellent programming skills in at least two programming languages including Python, R, Matlab, Fortran
  • Excellent oral and written communication and presentation skills. Demonstrated efficiency communicating highly technical and scientific insights to non-technical audiences

Desired:

  • Solid research record (including publications) and demonstrated expertise on natural hazards for the following key perils: severe weather, tropical cyclones, wildfire, climate change
  • Experience and working knowledge of using observations for model calibration and statistical downscaling techniques
  • Experience in computer science, high-performance computing, cloud computing (Amazon AWS)
  • Experience with GIS tools (ArcGIS, QGIS, GDAL)

FM Global is an Equal Opportunity Employer and is committed to attracting, developing and retaining a diverse workforce.

Contact:

Applicants are encouraged to send a recent CV  to Tiara Adducie (tiara.adducie@fmglobal.com) OR directly apply online to job # 2020-10186

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