Internship duration: 6 months
Eligibility: Candidates must meet the eligibility criteria for the ECO Canada’s Youth Employment in Natural Resources Program. Please check your eligibility by completing this quiz.
Start date: Between June 19 and September 1, 2023
Location: Virtual (based anywhere in Canada)
Description: This is a unique opportunity for individuals to experience being part of a dynamic, fast-paced organization working at the forefront of applied ecology and natural resource management. The candidate will be embedded into our team of M.Sc. and Ph.D. environmental scientists and software developers as we deliver user-friendly forecasting models of landscape change, ecosystem carbon dynamics, forest fire risk, and wildlife habitat to world-leading conservation agencies such as the U.S. Geological Survey, Canadian Forest Service, U.S. Forest Service, U.S. National Parks Foundation, and The Nature Conservancy. The candidate’s work will include (a) preparing and analyzing spatial forest datasets; (b) developing environmental forecasting models; and (c) delivering these models to natural resource managers and policymakers. The models will be integrated into our company’s SyncroSim software platform which will allow natural resource managers to compare the effects of alternative climate and management scenarios on future forests, habitat suitability/connectivity, carbon stocks and emissions, and fire risk. The candidate will learn tools and techniques for developing effective open-source forecasting models, along with skills necessary to prepare and analyze large spatial datasets. This will include training in programming languages such as R and Python. As part of working with a small consulting company, the candidate will also gain hands-on experience in collaborative science, project management, and communicating environmental science to decision-makers. Successful interns will have the opportunity to continue as a full-time employee with the company.
- acquiring and processing environmental data from various sources including online repositories
- working with spatial data in programming languages and tools such as R, Python, GDAL, QGIS, Google Earth Engine
- analyzing data and developing forecasting models in R and Python
- collaborating with software developers and scientists
- communicating science to decision makers (e.g., through online documentation and presentations)
Application: Interested applicants should email the following information (as a single pdf) to firstname.lastname@example.org: a 1-page statement of interest including a proposed start date and confirmation that you are pre-approved for funding, CV, and contact information for three professional references.
Application deadline: June 16, 2023
Applications will be processed on a first-come, first-served basis beginning June 1, 2023.