Senior Lead Research Scientist - Flood Modeling

FM Global
Norwood, Massachusetts
based on experience level
Jun 24, 2021
Aug 24, 2021
Position Type
Contract Type
Organization Type

The Structures and Natural Hazards research group at FM Global is looking for a creative, self-motivated individual who will work alongside a unique group of scientists across engineering, earth, and atmospheric sciences to protect the value of our clients' businesses. This position provides an opportunity to engage in solving real-world science and engineering problems and in developing methods to identify and model hazards, assess risk, and produce efficient and cost-effective loss prevention solutions. This is a full-time, permanent position with a role focused on performing strategic research in the areas of hydraulics and riverine flooding. This position will be based out of FM Global office located at Norwood MA, USA. 


The candidate will evaluate, develop, and implement techniques and models that will lead to impactful improvements in risk analytics and loss prevention for flood-related perils. The candidate’s work will include:

  • Performing riverine hydraulic modeling and creating flood maps at local to global scales through the development and/or application of hydraulic models
  • Conceptualizing and developing end-to-end solutions at local to global scales and integrating with FM Global riverine and coastal flood maps
  • Developing plans for strategic research that will lead to significant, measurable improvements in the ability to estimate future property losses
  • Preparing reports and presentations describing study results and their relevance for loss prevention and risk management

  • PhD degree with a fundamental background in hydraulics or hydrodynamics
  • Solid research record in the development and the application of 1D and 2D hydraulic models to map riverine floods
  • Modeling experience demonstrating broad understanding of modeling principles including model setup, calibration, and validation
  • Broad knowledge of numerical methods and excellent coding skills using programming languages such as R, Python, FORTRAN, MATLAB, and/or others
  • Strong analytical skills and solid knowledge of probability and statistics
  • Experience with collecting, processing, and analyzing large datasets
  • Experience with GIS tools such as ArcGIS, QGIS, and GDAL

Desired Qualifications

  • A research record (including publications) and demonstrated expertise on flood-related natural hazards
  • Experience with High Performance Computing on Linux/Unix clusters and cloud platforms such as AWS
  • Excellent oral and written communication and presentation skills, and project management abilities. Demonstrated capability of communicating highly technical and scientific insights to non-technical audiences

Job title depends on qualifications and experience. 

Applicants are encouraged to send a recent CV to Tiara Adducie at (