Research Intern – Machine Learning and Fire Modeling

Overview

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.

Responsibilities

Our Research team is seeking a graduate student or advanced undergraduate student in computational science or related fields (e.g. applied mathematics, computer science, mechanical engineering, etc.) to join a team of scientists dedicated to computational modeling of fire dynamics as a summer intern. The project involves developing algorithms and applying scientific machine learning approaches in numerical heat transfer and fluid dynamics problems.

Responsibilities:

Qualifications

Doctorate preferred, graduate student or advanced undergraduate student in computational science or related fields (e.g. applied mathematics, computer science, mechanical engineering, etc.)

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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