Fire Modeling Support (Operations Research)

Technical Support For Wildfire Suppression Scheduling 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. Full Consideration Date May 10, 2026 Brief Work Unit Description The Warner College of Natural Resources at Colorado State University is a leader in environmental research and land management. This position is housed within the Department of Forest and Rangeland Stewardship, supporting research focused on wildfire behavior modeling and decision-support systems. More information can be found at Colorado State University's website. Essential Job Duties 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. Conditions of Employment Must be able to pass a standard background check. Must be legally authorized to work in the United States. Supervision This position reports directly to Dr. Wei. Minimum Qualifications 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. Preferred Qualifications Familiarity with wildfire science or environmental science. Interest in pursuing research in mathematical modeling or decision-support systems. Application Instructions Please submit a resume and a brief cover letter highlighting your interest in mathematical formulations and any experience with optimization software or solvers. Salary Range $17 to $18 per hour Employee Benefits Colorado State University is not just a workplace; it's a thriving community that's transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact. Review our detailed benefits information here. Explore the additional perks of working at CSU here. For the total value of CSU benefits in addition to wages, use our compensation calculator. Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in! Background Check Policy Statement Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so. EEO Colorado State University (CSU) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.