[ES_JOBS_NET] Postdoctoral Opportunity in Wildfire Geospatial Science at Colorado State University

[Francis,Emily]

The Francis Lab in the Department of Forest and Rangeland Stewardship at Colorado State University is hiring a Postdoctoral Researcher in Forest and Wildfire Geospatial Science. This position is funded for 2.5 years. For more information and to apply: https://jobs.colostate.edu/postings/140826.

Position Details: The Postdoctoral Researcher will work on a Joint Fire Science Program-funded project on co-development of geospatial data products to support fuel treatment planning and monitoring in northern New Mexico and southern Colorado. Specifically, the Postdoctoral Researcher will: 1) combine satellite synthetic aperture radar (SAR) and multispectral imagery with measurements of forest structure and fuel conditions derived from airborne lidar and forest inventory plot data using machine learning methods, 2) engage with fuels program managers and NGO stakeholders in northern New Mexico and southern Colorado, and 3) develop and publish code and manuscripts to disseminate the results.

Salary Range: $62,000-$66,000 annually with benefits.

Duration: Funding for this position is available for 2.5 years, and the position will be renewed annually for the duration of the 2.5 years contingent on satisfactory progress.

Application Deadline: For full consideration, apply<https://jobs.colostate.edu/postings/140826> by March 25th, 2024.

Project Team: The Postdoctoral Researcher will work primarily with Emily Francis at Colorado State University, and will also collaborate with the broader project team that includes Matthew Hurteau (UNM), Harold Zald (USFS PNW), Gavin Jones (USFS RMRS), Hans Andersen (USFS PNW).

Required Qualifications: A PhD in ecology, remote sensing, earth science, environmental science, geography, computer science, data science, or a related field by the desired start date or within a reasonable time frame after the desired start date (awaiting conferral okay with a degree completion certificate).

Preferred Qualifications:

  1.  Experience with remote sensing
  2.  Experience developing code in Google Earth Engine, R, or Python
  3.  Experience with or interest in analysis of airborne lidar data, synthetic aperture radar (SAR), satellite multispectral data, and/or machine learning models
  4.  Evidence of publishing in peer-reviewed journals
  5.  Expertise in fire science, forest science, or southwestern US coniferous forest science
  6.  Interest in developing science to support management
  7.  Interest in working collaboratively within a research team


How to apply:

  1.  Prepare a one-page statement describing your interest in the position and if/how you meet the qualifications, a CV, and contact information for three references (references will not be contacted without prior notification to candidates).
  2.  Apply here: https://jobs.colostate.edu/postings/140826

Desired start date: Spring or Summer 2024. However, candidates with later start dates should also apply. There is some flexibility with the start date and later start dates will be considered.

About the Francis Lab: The Francis Lab is focused on understanding forest disturbance regimes in a changing climate. We develop new systems to measure forest structure, composition, and biomass by integrating remote sensing and field plot data. We then use those systems to improve understanding of how forest disturbances are changing with climate change and to support forest management. Visit the lab website here.<https://www.francisforestecologylab.com/>

Colorado State University is an EO/EA/AA employer.
Colorado State University conducts background checks on all final candidates.


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