FM Global Lead Research Scientist - Remote Sensing and Geospatial Analysis in Norwood, Massachusetts
FM Global 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 Global 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.
FM Global Research is the driving force behind our property loss-prevention engineering and understanding of the hazards our clients face. FM Global has been the leader in property loss-prevention research for more than 175 years.
As part of our research department, you’ll work alongside other researchers and independently to understand emerging property loss-prevention hazards, quantify real-world scenarios, and develop new ways to protect against today’s property-loss threats. You’ll also work on implementation, evaluation, and development of techniques—including computer models and experiments—and present your findings to make strategic and beneficial advancements in risk mitigation.
The Geospatial Analyst/Developer will be responsible for planning, conducting and coordinating in-house and external GIS and remote sensing support of natural hazards research. He or she will be responsible for the evaluation, implementation and development of GIS/remote sensing related tasks, such as data collection, processing, analysis, and management activities.
Tasks may include programming, obtaining, processing and analyzing vector and raster datasets; geo-referencing maps and aerial photographs; preparing input data for various natural hazard models; and post-processing model output to create maps.
Other responsibilities involve preparing reports and presentations that describe the work completed or in progress, and development of plans for strategic research that will lead to measurable, significant improvements in the ability to enhance methods and tools to quantify and assess natural hazards and estimate future property loss.
The position requires a Ph.D. degree and experience in Computer Science, Urban Planning, Geography, Civil Engineering, or a related field with experience in GIS and remote sensing and a good research track record. A successful candidate will demonstrate interest in working with team members and other teams with diverse technical backgrounds.
The successful candidate must have fundamental understanding of GIS and remote sensing and characteristics of geospatial data with expertise in related software applications and open source tools (e.g., ArcGIS, QGIS, ERDAS, ENVI, GDAL, OGR); expertise in raster and vector data processing workflows; proficiency in one or more high level programming languages such as Python, R, C++, C#, or MATLAB; solid background in designing and implementing strategies for collection, analysis, storage and display of large geographic data sets and in performing statistical data analysis. Applicants must have demonstrated project management abilities and excellent written and verbal communication skills.
Desired to have familiarity with parallel, distributed, or other high-performance computing platforms such as AWS; experience in use of geodatabase management systems and databases (e.g., SQL, MySQL, PostGIS, PostgreSQL) and one or more photogrammetric processing software (e.g., Agisoft PhotoScan, ERDAS IMAGINE); familiarity with scientific data formats such as NetCDF, HDFand GRIB, and data science and machine learning concepts.
The job title and compensation depend on qualifications and experience.
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Job ID 2020-9457
# Positions 1
Work Location Works from an office location
Employee Type Regular
Category Research - Research Scientist
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