This Research Associate II position is specifically tasked with contributing to a program of work that advances collaborative forest restoration, natural resource planning, wildfire risk mitigation, and watershed health-related decision-making in Colorado and the Interior West with spatial data production, management, analysis, and communication. The incumbent will be responsible for spatial data production using remote sensing and field-based technologies (GPS), spatial data management, spatial analysis to support science and planning initiatives, and written and oral communication of spatial data and results of spatial analyses to diverse audiences. The Colorado Forest Restoration Institute is involved in multiple initiatives that require spatial data analysis and modeling to assess current conditions (e.g. wildfire risk, forest composition and structure, watershed health/erosion modeling) and to prioritize forest restoration and fuel reduction activities across large landscapes. These initiatives are often collaborative in nature so the incumbent should have a general knowledge of western US forest ecology and forestry issues. The spatial analyst is expected to contribute to collaborative planning efforts and the publication of peer-reviewed journal papers and non-technical products for diverse audiences. See posting for more detail.
Required Job Qualifications
-M.S. degree in forestry, ecology, natural resource, geography, or a related field of study.
-Experience producing, managing, analyzing, modeling, and communicating spatial data.
-Competency in spatial analysis using ESRI GIS software.
-Must have a valid driver’s license or the ability to obtain a driver’s license or access to a licensed driver by the employment start date.
Preferred Job Qualifications
-1+ years of applicable professional experience, or a Ph.D. degree in a related field of study.
-High level of computer competency and ability to work with diverse ecological data (spreadsheets, databases, raster and vector spatial data).
-Experience automating spatial analysis workflows with remote sensing, multiple data types, big data, or spatial analysis across multiple software platforms. Programming experience, such as Python and R to automate spatial data processing and analysis, is preferred.
-Knowledge of western US forest and fire ecology and management (e.g. monitoring fire effects or modeling fire behavior)
-Knowledge of watershed science (e.g. hydrology or geomorphology)
-Demonstrated experience working with diverse range of forest and natural resource managers and stakeholders on collaborative planning, analysis, and adaptive management projects.
-Familiarity with and ability to interpret field based sampling methods and protocols for forestry monitoring and research and/or watershed science.
-Demonstrated ability to communicate effectively across cultural boundaries and work harmoniously with diverse groups of students, faculty, staff, and stakeholders outside the university setting.