Job Details

This ad is expired.
University of Idaho
  • Position Number: 4597926
  • Location: Moscow, ID
  • Position Type: Computer and Information Technology


University of Idaho

Research Scientist I - Wildfire Treatment Outcomes and Remote Sensing


Location: Moscow, Off Campus Location - Remote/Hybrid Work Option Available

Division/College: College of Natural Resources

Employee Category: Exempt

Pay Range: $86,985 anually or higher commensurate with experience

FTE: 1.0

Full/Part Time: Full Time

Position Summary:
Serves as an independent researcher, or a collaborator on a multi-scholar research initiative. May have lead responsibility for discrete components of a larger project under the general direction of a senior or principal researcher.
Duties may include:
  • Performing complex scientific analyses
  • Adjusting experimental designs as necessary based on experimental data analysis
  • Directing the development of recommendations for project solutions
  • Performing peer review of scientific projects, studies, or applications and making recommendations
  • Preparing peer reviewed publications or presentations
  • Resolving complex project specific technical and regulatory issues
  • Establishing work priorities and performance standards, hiring, training, evaluating staff, assigning, and reviewing work
  • May be responsible for technical project management to include developing the scope of work, budgeting, scheduling, reporting, implementing field projects, and approving scientific documents
  • Other duties as assigned


Minimum Qualifications:
  • Doctoral Degree in quantitative sciences, quantitative ecology, resource management, forestry, remote sensing, geographic information systems, or data science, with a focus on geospatial analysis and forest ecology and management;
    • A Masters Degree plus an additional two years of research experience (5 years total) may be substituted for a Ph.D.



  • Three years of research experience related to the domain of this position





Preferred Qualifications:
  • Advanced geospatial analysis skills
  • Documented academic and/or research experience in statistical modeling and big data analytics
  • Demonstrated oral and written communication skills
  • Demonstrated record of published peer-reviewed publications.
  • Ability to work independently and collaboratively on scientific manuscripts
  • Demonstrated ability to work independently and within a group
  • Experience processing and analyzing large remote sensing datasets (e.g., Landsat, Sentinel-2, MODIS) and geospatial datasets (e.g., FACTs, FTEM, field data) both locally with R/Python and via Google Earth Engine for wildfire and fuel treatment outcome research.
  • Proficient with running machine learning algorithms (e.g., Random Forest, CART) and regression models (e.g., SAR, LME) to derive ecological insights from big data sets.
  • Experience developing reproducible and scalable methodologies, using common software and programming languages, that can be used by land managers for multi-scale and/or multi-resource decision-making support for planning, assessments, and monitoring.
  • Background in natural resource management applications and wildland fire sciences.
  • Strong record of publications and verbal presentations. Ability to work in an interdisciplinary team of scientists and managers.





Physical Requirements & Working Conditions:



Required Licensures, Certifications or other


Posting Number: SP004120P

Posting Date: 09/13/2023

Closing Date:

Open Until Filled: Yes

Special Instructions:
This position is open until filled. Applications will be reviewed on an ongoing basis.

Background Check: Applicants who are selected as final possible candidates must be able to pass a criminal background check.

To apply, please visit: jobs.uidaho.edu

EEO Statement
University of Idaho is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer.







Copyright 2022 Jobelephant.com Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency


jeid-c68d51cebdb9584d980b5b3d639ac5ac