Job Details  

Research Assistant I
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Job ID 74793
Job Funding Source Work-Study, Non-Work-Study
Employer Environment and Sustainability, School for (SEAS)
Category Professional/Administrative
Job Description

How to Apply

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We are hiring a Research Assistant to join a USDA-funded research project at SEAS. The project aims to improve understanding of forest carbon dynamics under climate change and disturbance, and to provide science-based information that supports sustainable forest management and decision-making. This research integrates ground-based forest inventory data, remote sensing (including Landsat, GEDI, and NAIP), and process-based models to quantify forest biomass dynamics and carbon change. While the project focuses on forests in Michigan, the analytical framework and mapping methodologies to be developed will potentially extend to the Contiguous United States (CONUS) and Canada.

Job Summary

This position will focus on acquiring, compiling, and analyzing existing ground-based forest measurements to support biomass mapping and model validation. The student will work with multiple datasets, including but not limited to:

  • Site-specific measurements (e.g., U-M Biological Station and other long-term research forests)
  • US Forest Inventory and Analysis (FIA) plot data in Michigan and beyond
  • Canadian National Forest Inventory (NFI) datasets
  • Additional jurisdictional or research-based forest inventory datasets

This position is ideal for a student interested in forest carbon accounting, biomass estimation, and bridging field measurements with geospatial data science

 

Educational Value

Gain experience working with large-scale ecological and forest inventory datasets to support scientific research on forest biomass and carbon dynamics. Develop skills in data synthesis, quantitative analysis, and integrating field measurements with geospatial science to advance understanding of ecosystem change under disturbance and climate variability.

Job Requirements

Responsibilities

  • Aggregate and clean plot-level data across multiple forest inventory sources
  • Prepare and format datasets for integration into geospatial pipelines and ecological modeling
  • Basic statistical summaries and validation analyses
  • Conduct literature review and documentation related to compiled datasets
  • Close collaboration with remote sensing and modeling teams

Preferred Qualifications

  • Background in forestry, ecology, environmental science, or a related field, with a bachelor’s degree
  • Familiarity with forest inventory data (tree measurements, allometry, biomass calculation)
  • Experience with R or Python, GIS, and/or Google Earth Engine
  • Strong organizational skills and attention to detail
  • Clear written and verbal communication

 

 

Hourly Rate $20.00/hour to $30.00/hour
Hours 8.0 to 29.0 hours per week
Time Frame Fall/Winter/Spring/Summer
Start Date ASAP
End Date At completion of project
Primary Contact SEAS HR
Primary Contact's Email N/A
Supervisor Yingtong Zhang, Kai Zhu
Work Location Dana Building or remote Dana Building: 440 Church St. - Ann Arbor - 48109-1041
Phone N/A
Fax N/A