Ecosystem Model Developer

2 days ago


Shimoga, Karnataka, India beBeeEnvironmental Full time ₹ 40,00,000 - ₹ 50,00,000
Senior Environmental Modeller

We are seeking an exceptional environmental modeller with advanced programming expertise to join our team.

The successful candidate will be responsible for developing, implementing, and maintaining components of the Agricarbon Ecosystem Model (AEM) using Python.

This is a unique opportunity to apply your skills in 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.

You will work alongside our Principal Soil Modeller to translate scientific requirements into robust technical solutions, providing programming expertise to support complex modelling challenges.

The role requires strong problem-solving skills, excellent analytical abilities, and attention to detail, as well as experience with software development best practices, including version control and testing frameworks.

Key Responsibilities:
  • Model Components & Integration:
    • Working with agricultural ecosystem models, including plant growth models (LINTUL-5, LINGRA), soil organic carbon models (RothPC, RothPC-N), 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 Skills:
  • Programming Expertise: Extensive experience in Python programming for data science and environmental modelling, including proficiency with scientific libraries (NumPy, SciPy, Pandas, scikit-learn, GeoPandas)
  • 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
Benefits:
  • Collaborative Work Environment: Working closely with our Principal Soil Modeller and other experts in the field to advance knowledge and understanding of environmental systems
  • Professional Development: Opportunities for training and professional development to enhance skills and stay up-to-date with industry trends and best practices
Requirements:
  • Master's Degree or PhD: In Data Science, Environmental Science, Computer Science, or a related field, with a strong focus on modelling and programming
  • Advanced Programming Skills: Excellent skills in Python programming, with experience in scientific libraries and data science applications


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