A career with the Forest Service will challenge you to manage and care for more than 193 million acres of our nation's most magnificent lands, conduct research through a network of forest and range experiment stations and the Forest Products Laboratory, and provide assistance to State and private forestry agencies.
It's an awesome responsibility - but the rewards are as limitless as the views.
This position is being concurrently announced under Merit Promotion Announcement Number 13-2669-0243G-CAP. Current or former Federal employees may apply to both announcements, but should be sure to apply to the Merit Promotion Announcement in order to avoid losing consideration since different referral criteria apply to each type of announcement. Disabled veterans, candidates with 3 or more years of active duty military service, and candidates eligible for special hiring authorities may apply to the Merit Promotion Announcement if they meet the criteria outlined in the announcement and submit supporting documentation.
The USDA Forest Service has legislative authority to recruit and fill Permanent (Career/Career-Conditional), Temporary, and Term Appointments under the USDA Demonstration Project. Under this authority, any U.S. citizen may apply.
This research position is located with the Pacific Northwest Research Station's Research Monitoring and Assessment Program. The scientist’s program of research will improve basic ecological understanding of how multiple controls interact to shape patterns of forest composition and structure over large regions, and determining the complex effects on the environment from natural and human disturbances.
This is a research position and is classified under the scientist career plan; therefore promotion is dependent upon the incumbent's impact on the assignment, as evaluated through the Forest Service research grade evaluation panel process.
For additional information about the duties of this position, please contact Hans Andersen at 206-221-9034, email@example.com.
The position is responsible for developing a program of research with two major components: (1) understanding patterns of forest vegetation at broad geographic scales, and (2) translating this ecological information for interdisciplinary applications in landscape analysis, forest and habitat management, anticipation of rapid landscape changes and adaptations to them, and conservation planning. The research approach involves scaling up detailed tree-, species-, and stand-level data collected on field plots to characterize forest composition and structure over larger spatial units: from landscapes or watersheds, to ecoregions or provinces, to larger regions. Performing quantitative and spatial analysis methods to integrate plot data with spatial covariates to characterize ecological patterns and relationships. Objectives are to quantify and spatially predict (map) regional variation in forest composition and structure, and describe how environment and disturbance shape those patterns over a range of scales. Combining quantitative modeling and statistical imputation approaches, including multivariate and non-parametric methods in novel ways. Creating dynamic global vegetation models and remote-sensing time series.