FM Research Internship for PhD / Graduate Students – Summer 2026 - Climate Risk and Resilience

FM•Bellevue, WA

7d•Onsite

About The Position

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. The Natural Hazards and Climate Risk research group at FM is looking for a creative, self-motivated individual for a summer 2026 internship. Selected candidates will work alongside a unique group of scientists to protect the value of FM clients' businesses by developing methods to identify hazards, assess risk, and produce loss prevention solutions that are efficient and cost-effective. The internship will be supervised by senior staff in the research group and provides an opportunity to engage in solving real-world science and engineering problems in the insurance industry. As a future Research intern, you will be contributing to the Changing Climate research program by developing statistical models for assessing climate perils under future climate conditions. Responsibilities include data acquisition, downscaling of climate model output, and setup of experiments through a scientific programming approach.

Requirements

PhD students highly preferred, with good academic standing for graduation
Graduate students considered who are seeking to expand their research experience beyond academia and bring expertise in the following active research areas:
Atmospheric and climate science
Data science and scientific programming
Strong analytical skills and solid knowledge of probability and statistics
Comfortable in Microsoft Windows and Linux environments
Experienced with high-level programming languages such as MATLAB, R, Python
Comfortable writing shell scripts and using APIs to automate workflows
Proficiency in processing large volumes of data (incl. NetCDF, HDF, and GRIB formats)
Excellent written and verbal communication skills

Nice To Haves

GIS skills (e.g., ArcGIS, QGIS, GDAL)
Experience in computer science, statistics, machine learning, deep learning
Experience and understanding of climate model output (CMIP6, CORDEX, highresmip)

Responsibilities

data acquisition
downscaling of climate model output
setup of experiments through a scientific programming approach
developing statistical models for assessing climate perils under future climate conditions
contributing to the Changing Climate research program