Faculty Research Assistant | Oregon State University | Corvallis, OR
Closing Date 08/14/2020
The Department of Forest Ecosystems and Society invites applications for a full-time (1.0 FTE), 12-month, Faculty Research Assistant position. Reappointment is at the discretion of the Department Head.
The College of Forestry at Oregon State University actively develops new techniques for interpreting remotely sensed data from a variety of space-based platform, and applies those techniques to better understand forest ecosystems. Particular areas of interest include: forest structure mapping; forest carbon estimation; species distribution modeling; quantifying forest fragmentation; lidar; mapping historical fires and harvests; deforestation hotspot warning systems; and forest albedo. This position will provide a range of geographic programming services supporting the above research interests. The Faculty Research Assistant will develop automated workflows with remotely sensed imagery to track the condition and trends of forests around the world. The position involves statistical analysis, contributing to and writing manuscripts, and collaboration with a variety of partners.
100% – Research:
• Develop code to process a variety of remote sensing data, including Landsat and spaceborne lidar and radar sensors. Processing may occur locally or on cluster- or cloud-based platforms.
• Analyze alternative mapping approaches, quickly summarizing diagnostic information related to map accuracy and model properties.
• Use geographic information systems to summarize ecological implications of new maps and other satellite-derived datasets.
• Implement species distribution models and mapping at broad spatial scales.
• Manage forest inventory and geographic data across a variety of platforms.
• Suggest creative improvements to current procedures.
• Create user interface resources for newly developed information.
• Contribute to or lead writing manuscript for research findings.
• Documentation of the above.
• B.S. in computer science or B.S. in a natural resource field with strong, demonstrated record of geographic programming.
Preferred (Special) Qualifications
• M.S. or Ph.D. in computer science or a natural resource field with strong, demonstrated record of geographic programming.
• Experience in database management
• Experience in developing user interfaces.
• Experience with Google Earth Engine.
• Demonstrable commitment to promoting and enhancing diversity.