Organization: School of Environmental and Forest Sciences, University of Washington & the US Forest Service.
Contact: Susan O’Neill, 206-732-7851.
Duties: Lead the improvement of smoke forecasting tools that support wildfire incidents throughout the United States. Mine, analyze, synthesize, and deliver remotely sensed earth observations in various formats to personnel deployed to wildland fire incidents, health and air quality agencies, and the public.
- Ph.D. using remote sensing in atmospheric science, engineering, or similar field
- Knowledge of available remotely sensed products, experience manipulating the data, and benefits/drawbacks of different approaches and algorithms.
- Strong quantitative skills and familiarity with statistical techniques used in remote sensing and atmospheric sciences.
- Experience with manipulating and analyzing large spatial data sets
- High-‐level R and/or Python programming skills
- Comfort in working in UNIX/LINUX environment
- Data and workflow management skills
- Strong writing and presentation skills, including a track record of peer-‐reviewed publications and scientific conference presentations
- Ability to work in a collaborative environment across many disciplines
Link to more information: See the entire description and apply.
How to apply: Interested individuals should send a CV, brief statement of qualifications, and contact information for 3 references to: Dr. Ernesto Alvarado.
Application deadline: Application review starts February 1, 2017.