FM 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 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 Climate Risk and Resilience research group at FM is looking for creative, self-motivated individuals for internships. 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 Climate Risk and Resilience research group to provide an opportunity to engage in solving real-world science and engineering problems in the insurance industry.

As a research intern, you will be involved in building hydraulic models to simulate how flooding spreads across the landscape during past storm events and extreme scenarios defined by flood frequency analysis.  Deliverables include application of methods to estimate the geometry of open channels and stormwater systems to allow more scalable and reliable production urban flood hydraulic models.

Graduate students (with good academic standing for graduation), who are seeking to expand their research experience beyond academia and bring expertise in the following active research areas:

• Urban Hydrology
• Fluvial and Stormwater Hydraulics

General:

• Experience with flood model development and evaluation
• Strong GIS (e.g., ArcGIS, QGIS, GDAL) and analytical skills
• Proficiency in programming languages such as MATLAB, R, and Python
• Excellent written and verbal communication skills

Desired based on Research topic:

• Comfortable writing shell scripts and using APIs to automate workflows
• Comfortable in Microsoft Windows and Linux environments
• Experience in machine learning (would be a plus)

This is an in-office role based in Norwood, MA.  Temporary relocation support provided for selected qualified candidate.

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

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