Forest Carbon Modeling Manager
Anew ClimatePosted February 21, 2025
Location not specified
Carbon CaptureFull Time
Job Description
The Manager of Forest Carbon Modeling at Anew will support project implementation in the forest carbon space, utilizing technical skills to develop silvicultural prescriptions, optimize harvest schedules, and conduct field verifications. This role involves collaborating with a team to manage multiple projects while ensuring compliance with carbon offset protocols.
Responsibilities
- •Support forest carbon modeling efforts for voluntary and compliance offset projects
- •Collaborate with technical team to manage multiple projects and meet timelines
- •Modify and improve modeling processes using tools like R, SQL, ArcGIS, Excel, VBA
- •Prepare inventory and data for modeling forest offset projects
- •Conduct silvicultural research and interviews with local experts
- •Develop project and baseline harvest prescriptions to optimize credit generation
- •Perform statistical analyses and manage forest inventory databases
- •Draft carbon project documentation
- •Manage and edit spatial files for projects
- •Respond to verifier and registry inquiries
Requirements
- •At least 1-year of experience in a forestry-related occupation.
- •Master's or PhD degree in forestry or environmental science.
- •Advanced proficiency using Microsoft Excel, database manipulation programs, and spatial data manipulation.
- •Experience in forest biometrics and statistical analysis.
- •Ability to develop scripts in R, perform basic debugging, and identify streamline automate processes.
- •Experience in application of GIS Geographic Information Systems programs e.g., ArcGIS software.
- •Experience using at least one peer-reviewed forest growth simulation tool that applies to at least one North American forest type e.g., Forest Vegetation Simulator, OSM.
- •Experience with forest inventories, forest management plans, and timber harvest plans.
- •Experience cleaning and wrangling data, identifying issues, and troubleshooting data.
Benefits
- •Compensation/salary range
- •Work schedule
- •Work environment perks
- •Any additional benefits
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