SULI - EVS - Skwarek, Ryan - 2.13.26.

Argonne National Laboratory • Lemont, IL

8d

About The Position

Argonne National Laboratory (Argonne) supports DOE in evaluating the ecosystem services of bioenergy and solar energy production. Among these potential ecosystem services are potential impacts to biodiversity and soil health. This project will support Argonne’s work for the U.S. Department of Energy (DOE) to better understanding the biodiversity and soil health impacts/benefits of solar energy production. Over the past several years, Argonne has collected a variety of soil, vegetation, and wildlife data at solar energy sites in the Midwest. We are interested in a student to assist in the analysis of these data. We are looking for an individual with ecological, computer science, and/or environmental interests that can help us develop and apply analytical frameworks these wildlife monitoring data. Experience with R, Python, and/or ArcGIS preferred. Activities include but are not limited to: data processing, data visualizations, temporal analysis, and statistical analyses between treatment groups. There may also be some opportunities for field work to collect data. The selected student would have the opportunity to work on the following areas: (a) data analysis and visualization; (b) field work to monitor wildlife at existing or planned solar facilities; and (c) collection and analysis of soil samples from existing or planned solar energy facilities.

Requirements

• The entirety of the appointment must be conducted within the United States.
• Applicants must be: Currently enrolled in undergraduate or graduate studies at an accredited institution. Graduated from an accredited institution within the past 3 months; or Actively enrolled in a graduate program at an accredited institution.
• Must be 18 years or older at the time the appointment begins.
• Must possess a cumulative GPA of 3.0 on a 4.0 scale.
• Must be a U.S. citizen or Legal Permanent Resident at the time of application.
• If accepting an offer, must pass a screening drug test.

Nice To Haves

• Experience with R
• Experience with Python
• Experience with ArcGIS

Responsibilities

• data processing
• data visualizations
• temporal analysis
• statistical analyses between treatment groups
• data analysis and visualization
• field work to monitor wildlife at existing or planned solar facilities
• collection and analysis of soil samples from existing or planned solar energy facilities

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed