Urban Tree Conservation Postdoctoral Research Fellowship

  • The Nature Conservancy
  • Portland, Oregon, USA
  • Jan 29, 2020
Full time Government/Nonprofit Land Use

Job Description


To work in partnership with the Sustaining Urban Places Research (SUPR) Lab and The Nature Conservancy’s (TNC) Oregon Chapter to help develop the scientific foundations for improved and equitable urban tree conservation across the Portland metropolitan area and as a national model.



The goal of the position is to guide the development of resilient and sustainable land management through hyperlocal descriptions of urban trees and supporting management decision making. The postdoc will work in collaboration with PSU faculty in the DCTC and SUPR Lab, TNC staff and other local and national partners, to: (1) develop protocols using LiDAR, hyperspectral, and other regional datasets for assessing the distribution and characteristics of urban trees; (2) conduct spatial and statistical analyses to evaluate the effect of urban trees on human and ecological health (likely with additional support from graduate or undergraduate students and external partners); and (3) lead “spatial action mapping” of urban tree conservation strategies for equitable human health outcomes in the Portland metropolitan region. The postdoc will be expected to communicate results through workshops with partners, peer-reviewed journal articles, conference presentations, and briefings with government and elected officials.



  • Candidate for the position must have a PhD in natural resource management, ecological planning, environmental science, geography, ecology, forestry, or another related discipline
  • Demonstrated scientific writing and communication skills;
  • Recent experience with quantitative data analysis (GIS, R, Python, etc.); and
  • Demonstrated interdisciplinary experience.
  • Prior experience/ training in climate-human-ecosystem interactions to impact management and decision making from local to global scales
  • Prior experience/ training in the co-generation of knowledge with stakeholders in need of management solutions;
  • Experience with theory integration and/ or analysis of large data sets;
  • Development of spatially-relevant web-based applications; and
  • Experience facilitating small to medium sized meetings with academic and external partners.
  • Experience working directly with external partners on collaborative / co-developed scientific projects.