Ecosystem Sustainability Specialist

3 days ago

Nellore, Andhra Pradesh, India beBeeEnvironmental Full time ₹ 12,00,000 - ₹ 15,00,000
Environmental Modelling Software Engineer

This is a unique opportunity for an experienced environmental modeller to join our team and develop, implement and maintain components of the Agricarbon Ecosystem Model (AEM) using Python. As an Environmental Modelling Software Engineer, you will be responsible for 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.

The ideal candidate will have advanced programming skills in Python, with experience in developing and working with ecosystem models or related areas. They will also possess excellent analytical and problem-solving abilities, with a strong focus on code quality and collaboration. A Master's degree or PhD in Data Science, Environmental Science, Computer Science, or a related field is required.

  • Key Responsibilities:
  • 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.
  • 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.
  • Code Quality & Collaboration: Ensuring all modelling code meets high standards for reliability, performance, and maintainability, with comprehensive testing and documentation.
Required Skills and Qualifications:

The successful candidate will possess the following skills and qualifications:

  • Advanced programming skills in Python, with experience in developing and working with ecosystem models or related areas.
  • Excellent analytical and problem-solving abilities, with a strong focus on code quality and collaboration.
  • A Master's degree or PhD in Data Science, Environmental Science, Computer Science, or a related field.
  • Familiarity with Bayesian methods and data assimilation frameworks, as well as experience with machine learning techniques and their application to environmental data.
Benefits:

The position offers a range of benefits, including:

  • Opportunities for professional growth and development in a dynamic and innovative team.
  • A collaborative and supportive work environment, with opportunities for networking and knowledge sharing.
  • A competitive salary and benefits package, including health insurance, retirement savings, and paid time off.
Others:

We are committed to diversity, equity, and inclusion in the workplace, and welcome applications from candidates who share these values. We offer a flexible and remote-friendly work environment, with opportunities for flexible working arrangements and professional development. Apply now to become a part of our team and contribute to the advancement of environmental modelling and sustainability

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