EcoSystem Modelling Software Engineer

Responsibilities

• Develop, implement, and maintain components of the Agricarbon Ecosystem Model (AEM) using Python
• Work with agricultural ecosystem models including plant growth, soil organic carbon, soil water, mineral nitrogen, and grazing models
• Implement and maintain integration between different AEM components to ensure seamless data flow within a Bayesian data assimilation framework
• Contribute to the development and maintenance of the Bayesian framework to ensure robust uncertainty quantification and model calibration
• Configure, run, and extend existing model components such as LINTUL-5, LINGRA, and RothPC-N
• Develop Python implementations that leverage large-scale soil carbon databases

Requirements

• Master's degree or PhD in Data Science, Environmental Science, Computer Science, or a related field with a focus on modelling and programming
• Extensive experience in Python programming for data science and environmental modelling
• Proficiency with scientific libraries including NumPy, SciPy, Pandas, scikit-learn, and GeoPandas
• Experience with Bayesian statistical libraries such as PyMC or similar
• Proven experience developing and working with ecosystem models or related environmental areas
• Extensive experience with machine learning techniques and their application to environmental data
• Strong software development practices including Git, testing frameworks, and code documentation
• Excellent analytical and problem-solving abilities with high attention to detail

Preferred Qualifications

• Experience with Bayesian methods and data assimilation frameworks
• Familiarity with soil carbon (e.g., RothC) and crop growth models (e.g., LINTUL, WOFOST, DSSAT, APSIM) or grassland models
• Knowledge of nitrogen cycling and soil-plant-atmosphere interactions
• Familiarity with data assimilation using satellite-derived data
• Experience with cloud computing platforms (AWS, Azure, GCP) for large-scale data processing
• Experience with geospatial data handling tools like DuckDB
• Familiarity with containerisation and deployment technologies such as Docker
• Track record of peer-reviewed publications in relevant fields

About the Company

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