Senior Environmental Modeller

2 weeks ago

Kozhikode, Kerala, India beBeeEcosystem Full time ₹ 18,81,250 - ₹ 25,15,000
Job Description

This is an exciting opportunity for an experienced environmental modeller with strong programming expertise to contribute to our growing team. Working alongside a Principal Soil Modeller, you will be responsible for developing, implementing, and maintaining components of the Agricarbon Ecosystem Model (AEM) using Python.

Your advanced programming skills will be 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.

You will need to be adaptable - capable of working independently and as a key member of a multi-disciplinary team reflecting engineering, GIS, soil science, quality management, and data systems, and the commercial team, as well as collaborating effectively with external partners.

Key Responsibilities:
  • Model Components & Integration: Developing 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.
  • Bayesian Framework 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, potentially as part of ensemble modelling approaches.
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.
  • Problem-Solving Skills: Excellent analytical and problem-solving abilities with extreme attention to detail and a rigorous approach to model development.
Benefits

We offer a competitive package including a comprehensive benefits program, opportunities for professional growth and development, and a dynamic work environment.

Others

The ideal candidate will possess a Master's degree or PhD in Data Science, Environmental Science, Computer Science, or a related field with a strong focus on modelling and programming.

We are looking for a highly motivated individual who can think critically, communicate effectively, and work collaboratively in a fast-paced environment.

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