Internship: Cocoa Farm Mapping with Remote Sensing & ML - Remote
About the Role
Join ofi as an intern focusing on Cocoa Farm Mapping with Remote Sensing and Machine Learning. This internship offers a unique opportunity to work remotely while contributing to sustainable cocoa farming practices.
What You'll Do
- Preprocess and harmonize Sentinel-1, Sentinel-2, and ancillary data for model training.
- Explore RAG architectures for geospatial classification, enhancing cocoa farm mapping.
- Train and evaluate machine learning models using the ofi cocoa farm polygon database.
- Benchmark RAG-enhanced models against traditional machine learning baselines.
- Produce spatially explicit cocoa distribution maps for Côte d’Ivoire.
- Document model performance, uncertainty, and generalization across regions.
- Present results to forecast and sustainability teams at ofi.
Requirements
- MSc student in Remote Sensing, Geomatics, Data Science, AI, Environmental Sciences, or related fields.
- Strong interest in geospatial data, machine learning, and sustainability.
- Experience with Python and geospatial workflows (e.g., Google Earth Engine, QGIS, GDAL, Rasterio).
- Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
- Curiosity about advanced ML concepts like representation learning, transformers, or RAG.
- Ability to work independently and manage complex datasets and workflows.
- Comfortable working with confidential information and willing to sign an NDA.
Nice to Have
- Previous experience in agricultural data analysis.
- Knowledge of sustainability practices in agriculture.
- Familiarity with remote sensing technologies.
What We Offer
- Hands-on experience with cutting-edge machine learning and RAG techniques.
- Opportunity to work directly with one of the largest cocoa polygon datasets.
- Contribution to real-world sustainability goals in the cocoa supply chain.
- Competitive internship fee for the duration of your placement.
- Flexible internship duration of four to six months, with the possibility to extend.
- Collaborative environment in Amsterdam or Koog aan de Zaan.
- Equal opportunity employer valuing diversity.
This internship offers a unique opportunity to work with cutting-edge technologies in the cocoa supply chain, focusing on sustainability and machine learning.
Who Will Succeed Here
Proficient in Python, with hands-on experience in libraries such as TensorFlow and scikit-learn for implementing machine learning models specifically in geospatial contexts.
Self-motivated and disciplined to excel in a remote work environment, demonstrating effective time management skills and the ability to work independently while meeting project deadlines.
Familiarity with remote sensing data, particularly with Sentinel-1 and Sentinel-2 imagery, and the ability to preprocess and analyze geospatial datasets for machine learning applications in agriculture.
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