Senior Ecological Model Developer

2 days ago

Vellore, Tamil Nadu, India beBeeEnvironmental Full time ₹ 1,00,00,000 - ₹ 1,40,00,000

Environmental Modeller Position

We are seeking a skilled Environmental Modeller to join our team. The successful candidate will be responsible for developing and maintaining components of the Agricarbon Ecosystem Model (AEM) using Python.

The role involves translating complex modelling concepts into robust, production-ready code that enhances our ability to make accurate predictions of soil carbon levels and agricultural system interactions.

Key Responsibilities:

  • Model Components & Integration: Working with agricultural ecosystem models including plant growth models, soil organic carbon models, soil water models, mineral nitrogen models, and grazing models.
  • Model Integration: Implementing and maintaining 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: Contributing 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: Evaluating and implementing machine learning and statistical models using Python libraries to enhance overall accuracy and predictive power.

Required Skills and Qualifications:

  • Advanced 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.
  • Code Quality Focus: Experience with software development best practices including version control (Git), testing frameworks, and code documentation.
  • 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.

Benefits:

  • Opportunity to work on cutting-edge environmental modelling projects.
  • Collaborative and dynamic work environment.
  • Professional development opportunities.

Others:

The ideal candidate will have a strong background in environmental modelling, data science, and programming, with excellent communication and collaboration skills. If you are passionate about environmental modelling and want to contribute to making a positive impact, we encourage you to apply for this exciting opportunity.

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