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Forest Biometrics/Geospatial Intern

Westervelt
Tuscaloosa, AL Intern
POSTED ON 4/15/2025
AVAILABLE BEFORE 5/12/2025

Forest Biometrics / Geospatial Intern

We are searching for anexperienced Forest Biometrics / Geospatial Intern at our Headquarters facility.

At The Westervelt Company, we are stewards of the land. Webelieve in sustainable management, conservation and protection of our naturalresources. We are committed to our core values of ensuring the safety and well-beingof our employees, providing the highest quality products and services for ourcustomers, and developing long-lasting relationships in the communities wherewe live and work.

The position is intended to perform graduate-level data mining and organization tasks leading to advanced analyses to further TWC's forest inventory, growth & yield, forest management decision-support, and / or harvest scheduling efforts in the Forest Resources Division.

Primary Duties and Responsibilities :

  • Use advanced analytical tools such as R and SAS to be able to manipulate and analyze forest and / or remotely sensed data. Use knowledge of standard data formats and structures (PostGres, SQL server, Excel, etc.) to perform data-related tasks.
  • Use knowledge of forestry in quantifying trends (model building) and other quantitative forestry efforts.
  • Build automated tools / processes using R and / or Python.
  • Use creativity to build deliverables that address complex forest management-related problems.
  • Openly share knowledge and resources to others in a team to further team advancement.
  • Manage time and tasks effectively and efficiently and demonstrate hard work throughout work hours.

RequiredQualifications :

  • Bachelor's Degree
  • No professional experience required, but preferred.
  • If a master's degree is not completed, the intern position requires work toward a master's or above be underway - preferably an MS / PhD (thesis option) degree as opposed to a non-thesis master's (i.e. MF, MFR or MNR).
  • Have knowledge of forest systems (silvics and silviculture) to the level of a bachelor's-level forestry graduate (minimum).
  • Have advanced knowledge of statistics and quantitative methods expected with a master's-level quantitative forestry program.
  • Be able to program in R, SAS and / or Python.
  • Work well in a team.
  • Be able and willing to communicate deliverables effectively.
  • Possess high levels of professional integrity.
  • Possess the personality of a life-long learner.
  • Equal Opportunity Employer : Minority / Female / Disabled / Veteran / GenderIdentity / Sexual Orientation

    Thebase salary range for this position is $ - $. Actual base salary is based on the experience and qualifications of theselected candidate.

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