Research Fall 2026 Internship/Co-op -Early Anomaly Detection & Intervention

About the role

FM is a leading property insurer of the world's largest businesses, providing engineering-based risk management and property insurance solutions to over one-third of FORTUNE 1000-size companies. This internship focuses on investigating and evaluating advanced approaches for early anomaly detection and intervention in data center environments, addressing unprecedented demands in power density driven by AI and high-performance computing workloads.

The selected intern will conduct experimental and modeling research to characterize pre-fire signatures and assess potential intervention strategies before ignition or fire development.

Responsibilities

• Conduct literature reviews, including internal reports and external publications.
• Execute experimental test programs and collect high-quality data, focusing on designing and building laboratory-scale experimental apparatus to simulate data center equipment faults and pre-fire conditions.
• Develop models, correlations, and analytical techniques to interpret experimental results.
• Document findings through technical reports, presentations, and research publications.

Requirements

• Ph.D. student in Fire Protection Engineering, Mechanical Engineering, Chemical Engineering, or related fields.
• Strong experimental and analytical skills.
• Ability to independently design experiments and troubleshoot laboratory setups.
• Experience with data analysis using Python, MATLAB, R, or similar tools.
• Strong technical writing and communication skills.

Preferred Qualifications

• Experience in building experimental apparatus and integrating sensors with data acquisition systems.
• Experience with statistical modeling, predictive analytics, or physics-based modeling.

Logistics

Location: Norwood, MA. Duration: 3–6 months starting from September 2026. This is an in-office role with temporary relocation support provided for the selected qualified candidate.