Ecological Systems Analyst

22 hours ago

Belgaum, Karnataka, India beBeeEnvironment Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Opportunity

We are seeking an Environmental Modelling Software Engineer to join our team. This is an exciting opportunity for an experienced environmental modeller with strong programming expertise.

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

Key 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.
  • 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.
  • Model Development: Configuring, running, and extending existing model components such as LINTUL-5 (arable crops), LINGRA (grass), RothPC-N (soil organic carbon and nitrogen), developing Python implementations that maximise the benefit of our access to the world's largest soil carbon database.
Required Skills and Qualifications

The ideal candidate should have:

  • 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.
Benefits

This role offers a unique opportunity to work on cutting-edge environmental modelling projects and contribute to the development of innovative solutions.

Others

We offer a collaborative and dynamic work environment, opportunities for professional growth and development, and a chance to make a real impact in the field of environmental modelling.

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