- Montréal, Quebec, Canada
- Hybrid
- Internship · Intern
Master’s student in remote sensing, geomatics, forestry, machine learning or a related field will conduct a research internship to evaluate Earth observation foundation models for tree species classification in Quebec.
Compensation
This is a 16-week, part-time paid research internship (about 20 hours per week)
Responsibilities
- Get familiar with our tree species classification pipeline and reference data (field plots and forest stand polygons).
- Build a rigorous benchmark comparing Tessera and AlphaEarth embeddings with our current results.
- Train and evaluate simple classifiers (random forest, small neural network) on these embeddings.
- Measure performance against the amount of labeled data used (from 5% to 100%).
- Test whether mixed forest stand polygons improve results.
Requirements
- Master’s degree in remote sensing, geomatics, forestry, machine learning or a related field
- Nice to have: PyTorch