
Modelling Expertise for Agricultural Systems
9 hours ago
This is an exciting opportunity for a seasoned environmental professional with strong programming expertise to develop and implement advanced modelling concepts.
As a key member of our team, you will be responsible for creating 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 part of a collaborative team reflecting engineering, GIS, soil science, quality management, and data systems.
Key Responsibilities- Model Components & Integration: Working with agricultural ecosystem models including plant growth models, soil organic carbon models, 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.
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