Intern Junior Carbon & GHG Modeler
Varaha Systems · Not specified · onsite · Posted 65d ago
Not disclosedFresherfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
What You Will Do & Learn
Educational Background
- Model Soil Carbon & GHGs: Learn to set up, calibrate, and validate process-based models (such as DayCent, DNDC, or DSSAT) to estimate soil carbon sequestration and emission reductions across agricultural landscapes.
- Master Carbon Standards: Gain hands-on experience with leading carbon registries and methodologies (e.g., Verra VM0042 and VMD0053), covering structural validation, uncertainty quantification, and Model Validation Report (MVR) development.
- Build Scalable Pipelines: Write reproducible, production-grade Python code and geospatial workflows to scale our models across regions.
- Collaborate & Defend Scientific Models: Help prepare rigorous technical documentation, data visualizations, and scientific rebuttals for third-party auditors (VVBs) and carbon market evaluators.
Educational Background
- Bachelor's or Master's degree in Computer Science (B.Tech / M.Tech preferred), Applied Mathematics, Computational Biology, or related fields.
- Strong logical and analytical thinking, and effective technical communication.
- Production-grade Python, Git version control, statistical modeling, and geospatial data handling.
- Hands-on experience with Python libraries and geospatial tools (e.g., GeoPandas, Rasterio) or GIS tools.
- Prior exposure to biogeochemical models (DayCent, DNDC, DSSAT) through coursework, research, or internships.
- Familiarity with Bayesian statistics, machine learning surrogates, or remote sensing data (Sentinel-2, MODIS).
- Interest in agricultural systems across India, Southeast Asia, or Sub-Saharan Africa.
- Habit of using modern AI/LLM-assisted workflows to accelerate research, data processing, and code development.
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Skills
statistical modelingGIS ToolsGeospatial data handlingGeoPandasRasterioPythonGIT