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Company: Colorado State University – Center for Environmental Management of Military Lands

Position Title:    Postdoctoral Associate - Predictive Modeler

Location:  Fort Collins, CO 

Full job description and application instructions link:  Colorado State University Employment Opportunities | Postdoctoral Associate - Predictive Modeler

Apply by full consideration date: 10/20/2025

Salary Range:    $65,000-$75,000

 

Position Summary (include Description of Work Unit and Position Summary):    

We are looking for a highly skilled postdoctoral scientist (postdoc) to lead the development of models for predicting wild bird strikes in and around an airport’s airspace in space and time. The objective of the work is to provide risk assessment tools for guiding aviation managers in protecting public safety. The postdoc will collate data and develop predictive statistical models to estimate strike probability, the frequency component of a strike risk metric. This work will eventually be combined with strike severity to compose a strike risk metric and, thereby, provide means to prioritize bird-strike management actions and decision making for civil and military airport managers and wildlife biologists. The postdoc will work at the forefront of human-wildlife interactions with quantitative ecologists and wildlife biologists from USDA-APHIS and Colorado State University (CSU) as well as aviation stakeholders and natural resource economists. They will also work closely with a data scientist to transfer their modeling workflows into a pipeline and dashboard system for real-time risk assessment. The position is co-located at CSU and the National Wildlife Research Center of USDA-APHIS-Wildlife Services in Fort Collins, CO.

 

Minimum Requirements:

  • Applicants must have defended their Ph.D. in ecology, wildlife biology, conservation, statistics, data science or related fields, and have a strong record of publishing in peer-reviewed journals using ecological statistics or ecological modeling.
  • The applicant must also have US Department of Defense security clearance, which requires the job candidate to be a U.S. citizen.
  • Must be legally authorized to work within the U.S.

 

 Preferred Job Qualifications:

  • Experience using hierarchical statistical models, spatio-temporal models, machine learning, and developing data pipelines for large datasets.
  • Experience with ecological forecasting, decision analysis, and working with natural resource management stakeholders.

 

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. To learn more, please visit: 

• https://hr.colostate.edu/wp-content/uploads/sites/25/2021/01/benefits-summary-afap.pdf

• https://hr.colostate.edu/prospective-employees/our-perks/

• https://hr.colostate.edu/total-compensation-calculator/

• https://hr.colostate.edu/prospective-employees/our-community/ 

 

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.

 

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.