Company

University of WashingtonSee more

addressAddressSeattle, WA
type Form of workFull-Time
CategoryEngineering/Architecture/scientific

Job description

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills and dedication to build stronger minds and a healthier world.
UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty.
The School of Environmental and Forest Sciences is looking for a Research Scientist/Engineer 2 to serve as a Fire Ecologist specialist on Postfire Management and Pre-fire Planning.
POSITION PURPOSE
The School of Environmental and Forest Sciences, University of Washington, in collaboration with the USFS Pacific Northwest Research Station, is seeking a RESEARCH SCIENTIST with expertise in fire modeling and remotely sensed data to support innovative research and monitoring to inform postfire management and pre-fire forest planning across the West under a changing climate. This project is designed to understand the short- and long-term consequences a of active and passive management treatment effects on stand structural characteristics following large wildfires. The project is quantifying treatments effects following large wildfires across the largest wildfires. The project informs the use of postfire management treatments (e.g., prescribed fire, salvage logging) to increase forest resilience to subsequent wildfire, biotic stressors and expected changes in climate. Long-term monitoring will evaluate whether accumulation of dead woody fuels and shrub regeneration hinders the reestablishment of seedling regeneration, deflecting the trajectory for forest succession and therefore preventing the accomplishment of long-term management objectives. Results of this project will inform forest managers to plan management treatment interventions to effectively steer early seral trajectories toward desirable future conditions. The incumbent will join a research team of postdoctoral scholars, federal scientists, and university faculty with expertise on fire ecology, silviculture, forest management, statisticians, and geospatial analysts. The research team has been establishing monitoring plots across the western US that includes several National Forests and BLM Districts in Arizona, Washington, California, Idaho, and Oregon.
POSITION COMPLEXITIES
The position provides an outstanding opportunity to apply a variety of analytical skills to perform original and applied research, present the results at scientific meetings and trainings, and assist in publishing papers in peer-reviewed journals. The position also provides the opportunity to work with a wide user community involved in post-fire restoration and management, fire ecology, and wildland fire sciences, nationally and internationally. The position requires independent planning, prioritizing, and execution of projects and tasks under the general direction of a School of Environmental and Forest Sciences (SEFS) faculty member and a USFS scientist.
POSITION RESPONSIBILITIES
The successful candidate will be responsible for managing the collection of long-term quality postfire inventory data and will provide research support with statistical and geospatial analysis, wildland fire modeling, fuel and vegetation modeling, risk analysis, R or Python programming and mentorship as well as the compilation and loading routine of annual inventory collection projects. Incumbent will lead a field crew on establishment and collection of forest biometric data.
DUTIES AND RESPONSIBILITIES
Research (70%)

  • To manage the collection of long-term quality postfire inventory data that has been collected for the last decade and future data collection campaigns. (10%)
  • To provide research support with statistical and geospatial analysis, wildland fire modeling, fuel and vegetation modeling, risk analysis, R or Python programming. (15%)
  • To lead a field crew on establishment and collection of forest biometric data related to postfire stand structure conditions including stem density, species, herbaceous and shrub species composition, dead woody fuel loadings, burn severity metrics in collaboration with a wide variety of federal and tribal partners including national forest managers mostly following forest treatments and/or disturbances. (25%)
  • To assist on establishing permanent inventory plots located on sites that are sometimes remote and may require to hike long distances to reach plot locations both on- and off-trail, and work on steep and or rough terrain. (10%)
  • To operate 4-wheel drive vehicles and plot navigation skills, including use of GIS software and datasets, topographical maps, aerial photos, and GPS units. (5%)
  • To collaborate closely with other team members located in other USFS Research Stations in the country. The research will be conducted in the laboratory and will require field visits to wildfire sites. (5%)
    Project Management (15%)
  • To support principal investigators on project management and interface with a group of RESEARCH SCIENTISTs, federal cooperators, and contractors. (5%)
  • To maintain and document projects as necessary. (5%)
  • To prepare and manage data, including collecting, cleaning, organizing, and maintaining datasets. (5%)
    Outreach (15%)
  • To write internal/technical documentation as well as to contribute to external scientific documentation, including peer-reviewed research papers. (5%)
  • To provide technical assistance and support to other projects underway within the group. (5%)
  • To perform related duties as required. (5%)
    Lead responsibilities
    The incumbent will be responsible for managing the collection of long-term quality postfire inventory data and will provide research support with statistical and geospatial analysis, wildland fire modeling, fuel and vegetation modeling, risk analysis, R or Python programming and mentorship as well as the compilation and loading routine of annual inventory collection projects. Incumbent will lead a field crew on establishment and collection of forest biometric data. Selected candidate will be responsible for ensuring that research protocols are followed during the execution, data entry, and analysis of studies on fire and smoke hazards for federal, state, and tribal lands.
    Supervisory responsibilities
    Works effectively as a member of a team under technical guidance of seasoned staff and collaborators; Incumbent will lead a seasonal field crew during the summer composed of students and technicians as necessary to achieve specific assignments.
    Working Environmental Conditions
    The appointment is full time, 40 hours per week. The incumbent will be required to hike carrying at least 45-pound packs with all related field gear; pack weights can exceed 60 pounds. Crews work at elevations ranging from 3,500 to 14,000 feet when accessing permanent inventory plots and expected to hike long distances to reach plot locations both on- and off-trail, and work on steep and or rough terrain. Crews will be working in sun, rain, and snow, across the full range of temperatures which can change rapidly throughout the day.
    MINIMUM REQUIREMENTS
    A Bachelor's degree in a science-related field in forestry, fire ecology, botany, natural resources, or geospatial science and two years of relevant experience, or equivalent combination and experience. Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration
    ADDITIONAL REQUIREMENTS
  • Experience processing and analyzing large datasets and geospatial datasets with R/Python and via Google Earth Engine for wildfire and fuel treatment outcome research.
  • Knowledge of fire science and geospatial analysis or expertise experience using a variety of GIS, both proprietary (e.g., ArcGIS Pro, Google Earth Engine R geospatial packages, python - geopandas, arcpy) and open source (e.g., QGIS, Python, R, Julia, PostGIS, GRASS) to maintain data repositories and complete geospatial analyses.
  • Experience working with forest inventory data and forest growth and yield modelling (Fire and Fuels Extension to the Forest Vegetation Simulator, First Order Fire Effects Model).
  • Ability to apply forest growth and yield models to model forest stand dynamics, silvicultural practices, and local forest management standards to create long-term projections of stand trajectories in relation to post-fire management practices following active and passive management treatment.
  • Skills on using and calibrating inventory tools that include hypsometer, clinometer, laser, stereoscope, loggers/diameter tape, chaining tape, increment borers, and others related to repeatable and accurate measurements.
    DESIRED QUALIFICATIONS
  • Two or more years of experience working with forest inventory data and forest growth and yield modelling (Fire and Fuels Extension to the Forest Vegetation Simulator, First Order Fire Effects Model).
  • Programming skills either in Python or R and experience writing SQL queries or using code-driven analytical tools (e.g., R, Python, Julia, etc.) to manipulate and analyze both spatial and tabular data.
  • Experience using GIS and remote sensing to map and characterize distribution of plant species, vegetation communities, fire regimes and wildland fuels with a familiarity with FACTS, LANDFIRE, GNN, and CWHR spatial datasets.
  • Demonstrated ability to create clear and concise visual displays of quantitative data.
  • Strong communication and interpersonal skills.
  • Ability to work collaboratively in a team environment.
  • Sincere interest in learning about natural resource management applications and fire science.
  • Experience with videoconference software.
  • Experience with web services and applications.
  • Experience working collaboratively with RESEARCH SCIENTISTs.
    Contacts/Interactions
    Interact with faculty, other staff members, student employees, and collaborators of USDA Forest Service and other federal and state agencies on a daily to weekly basis to develop accurate and timely geospatial analysis and databases.
    Application Process: The application process may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select "Apply to this position". Once you begin an assessment, it must be completed at that time; if you do not complete the assessment, you will be prompted to do so the next time you access your "My Jobs" page. If you select to take it later, it will appear on your "My Jobs" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.
    Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.
    The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
    To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.
    Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.
  • Refer code: 7424057. University of Washington - The previous day - 2023-12-24 08:21

    University of Washington

    Seattle, WA
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