Ecosystem Modelling Systems Developer

3 days ago

Pune, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Opportunity

As a highly skilled environmental modeller, you will be responsible for developing and implementing components of the Agricarbon Ecosystem Model (AEM) using Python. This is an exciting opportunity to join our growing team and contribute to the development and maintenance of a world-class environmental modelling system.

Key Responsibilities:

  • Model Development: Develop model components, including plant growth models, soil organic carbon models, soil water models, mineral nitrogen models, and grazing models.
  • Integration: Implement and maintain the integration between different AEM components, ensuring seamless data flow between plant growth, soil carbon, water, nitrogen, and livestock models within the Bayesian data assimilation framework.
  • Technical Development: Contribute to the development and maintenance of the Bayesian data assimilation framework that underpins the AEM, ensuring robust uncertainty quantification and model calibration.
  • Machine Learning Integration: Evaluate and implement machine learning and statistical models using Python libraries to enhance overall accuracy and predictive power.
  • Code Quality & Collaboration: Ensure all modelling code meets high standards for reliability, performance, and maintainability, with comprehensive testing and documentation.

Requirements:

  • Programming Skills: Extensive experience in Python programming for data science and environmental modelling, including proficiency with scientific libraries (NumPy, SciPy, Pandas, scikit-learn, GeoPandas) and Bayesian statistical libraries (PyMC or similar).
  • Environmental Modelling Experience: Proven experience developing and working with ecosystem models or related areas.
  • Data Science Proficiency: Extensive experience with machine learning techniques and their application to environmental data, including model validation and statistical analysis.
  • Problem-Solving Skills: Excellent analytical and problem-solving abilities with extreme attention to detail and a rigorous approach to model development.
  • Educational Background: Master's degree or PhD in Data Science, Environmental Science, Computer Science, or related field with a strong focus on modelling and programming.

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