What are the responsibilities and job description for the FM Research Internship for PhD / Graduate Students – Summer 2026 - Climate Risk and Resilience position at FM?
Job Description
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 Climate Risk and Resilience research group at FM is looking for a creative, self-motivated individual for a summer 2026 internship. Selected candidate 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 and provides an opportunity to engage in solving real-world science and engineering problems in the insurance industry.
As a future intern, you will be contributing to a data library which includes input datasets for various natural hazard models. Responsibilities include data acquisition, conversion and transformation of various geospatial data types through a scientific programming approach.
Qualifications
PhD/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:
FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
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 Climate Risk and Resilience research group at FM is looking for a creative, self-motivated individual for a summer 2026 internship. Selected candidate 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 and provides an opportunity to engage in solving real-world science and engineering problems in the insurance industry.
As a future intern, you will be contributing to a data library which includes input datasets for various natural hazard models. Responsibilities include data acquisition, conversion and transformation of various geospatial data types through a scientific programming approach.
Qualifications
PhD/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:
- Geospatial analysis and development
- Data science and scientific programming
- PhD student highly preferred, MS considered with related research work in geospatial analysis and development, data science and scientific programming
- Strong analytical skills and solid knowledge of geospatial processing and database management principles
- Hands-on experience with the following: Raster analysis, coordinate system projections and transformations, vector relational data management
- Proficiency in processing large volumes of data
- Excellent written and verbal communication skills
- Experience in code development in programming languages such as python, R, or C , and code documentation through Jupyter Notebooks
- Comfortable writing shell scripts and using APIs to automate workflows
- Comfortable in Microsoft Windows and Linux environments
FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Salary : $33 - $39