Ecosystems Model Specialist

4 days ago

Shimoga, Karnataka, India beBeeEnvironmental Full time ₹ 20,00,000 - ₹ 25,00,000

Environmental Modeller

This role presents a unique opportunity to develop and implement cutting-edge ecosystem models, driving advancements in environmental science. As an experienced modeller, you will work alongside our Principal Soil Modeller to translate complex scientific requirements into robust technical solutions.

Key Responsibilities:
  • Model Development: Configure, run, and extend existing model components such as LINTUL-5 (arable crops), LINGRA (grass), RothPC-N (soil organic carbon and nitrogen), and develop Python implementations that maximise the benefit of our access to the world's largest soil carbon database.
  • Technical Collaboration: Work closely with our Principal Soil Modeller to provide programming expertise supporting complex modelling challenges.
  • Code Quality & Maintenance: Ensure all modelling code meets high standards for reliability, performance, and maintainability, with comprehensive testing and documentation.
  • Data & Validation: Design and implement automated testing frameworks to validate and improve model performance, ensuring statistical rigour in all implementations.
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.
Benefits:
  • Collaborative Environment: Work alongside a multi-disciplinary team reflecting engineering, GIS, soil science, quality management, and data systems.
  • Opportunities for Growth: Contribute to cutting-edge research initiatives and drive advancements in environmental science.

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