Environmental Modelling Specialist

1 day ago

Vijayawada, Andhra Pradesh, India beBeeSoftware Full time ₹ 80,00,000 - ₹ 1,20,00,000
Environmental Modelling Software Engineer

This is an exciting opportunity to work with our team and contribute to the development of cutting-edge environmental models.

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

  • Data Science Techniques: The role involves evaluating and implementing machine learning and statistical models using Python libraries to enhance overall accuracy and predictive power, potentially as part of ensemble modelling approaches.
  • Code Quality Focus: Ensuring all modelling code meets high standards for reliability, performance, and maintainability, with comprehensive testing and documentation.

We are seeking a highly skilled individual with:

  • 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).
  • 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.
  • 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.

Responsibilities include:

  • Model Components & Integration: Working with agricultural ecosystem models (AEM), 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.

Familiarity with cloud computing platforms for large-scale data processing (AWS, Azure, GCP) and geospatial data handling experience would be beneficial.

We offer a stimulating work environment with opportunities for professional growth and development. If you have a passion for environmental modelling and excellent analytical and problem-solving skills, we encourage you to apply.

To succeed in this role, you will need to be adaptable, able to work independently, and collaborate effectively with external partners.

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