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Intern Junior Carbon & GHG Modeler

Intern Junior Carbon & GHG Modeler

Varaha Systems
Fresher
Not Disclosed
Early Applicant
  • Posted 2 months ago
  • Be among the first 10 applicants

Job Description

What You Will Do & Learn

  • 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.

What We Are Looking For

Educational Background

  • Bachelor's or Master's degree in Computer Science (B.Tech / M.Tech preferred), Applied Mathematics, Computational Biology, or related fields.

Core Skills

  • Strong logical and analytical thinking, and effective technical communication.

Core Foundations

  • Production-grade Python, Git version control, statistical modeling, and geospatial data handling.

Coding Toolkit

  • Hands-on experience with Python libraries and geospatial tools (e.g., GeoPandas, Rasterio) or GIS tools.

BONUS POINTS (NICE-TO-HAVES)

  • 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.

More Info

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Key Skills

Git version control

GeoPandas

geospatial data handling

Rasterio

GIS tools

About Company

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Remote sensing data (Sentinel-2, MODIS), Python, Rasterio, GIS tools, Geospatial data handling, DNDC, AI LLM-assisted workflows, Statistical Modeling, DayCent, Git version control, Bayesian Statistics, GeoPandas, Machine learning surrogates, DSSAT
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Skills:
Python, Git version control, GeoPandas, Statistical Modeling, geospatial data handling, Rasterio, GIS tools