Fire Modeling Support (Operations Research)

Colorado State University•Fort Collins, CO

About The Position

This position provides technical support for the testing and validation of mathematical models used in wildfire suppression scheduling. The role focuses on applying Linear Programming (LP) and Integer Programming (IP) to mimic MTT algorithm to predict fire spread and optimize mitigation activities. We are seeking candidates with a deep interest in mathematical theories and formulations to help bridge the gap between operations research and wildfire science. This recruitment is open to external candidates and students from any institution to ensure a broad pool of applicants interested in applied optimization.

Requirements

A background in Mathematics, Physics, Industrial Engineering, Computer Science, or a related quantitative field.
Demonstrated coursework or experience in mathematical programming (LP/IP).
Proficiency in analytical problem-solving and the ability to work with complex numerical datasets.
Must be able to pass a standard background check.
Must be legally authorized to work in the United States.

Nice To Haves

Familiarity with wildfire science or environmental science.
Interest in pursuing research in mathematical modeling or decision-support systems.

Responsibilities

Test and document the performance of Linear Programming and Integer Programming models in various fire spread modeling and fire suppression scenarios.
Conduct sensitivity analyses using NIROPS data and predicted ROS on model constraints and objective functions related to wildfire spread.
Assist in the translation of operational fire suppression strategies into formal mathematical formulations.
Integrate spatial fire behavior data with optimization solvers to evaluate scheduling efficiency.
Provide detailed reports on model behavior and suggest refinements to improve predictive accuracy.