
Ecosystem Simulation Software Developer
1 day ago
We are seeking an experienced software engineer with a strong background in ecosystem modelling to join our team.
- Key Responsibilities:
- Develop, implement and maintain components of the Agricarbon Ecosystem Model (AEM) using Python.
- Translate complex modelling concepts into robust, production-ready code that enhances our ability to make accurate predictions of soil carbon levels and agricultural system interactions.
- Collaborate with cross-functional teams to integrate different AEM components, ensuring seamless data flow between plant growth, soil carbon, water, nitrogen, and livestock models within the Bayesian data assimilation framework.
- Contribute to the development and maintenance of the Bayesian data assimilation framework that underpins the AEM, ensuring robust uncertainty quantification and model calibration.
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.
- Code Quality Focus: Experience with software development best practices including version control (Git), testing frameworks, and code documentation.
Benefits:
- A competitive salary and benefits package.
- The opportunity to work on cutting-edge projects and collaborate with a talented team.
- A dynamic and supportive work environment.
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