Ecosystem Modelling Specialist

23 hours ago

Thāne, Maharashtra, India beBeeEnvironmental Full time ₹ 1,80,00,000 - ₹ 2,00,00,000

Ecosystem Modelling Expertise

This is an exciting opportunity for a highly skilled environmental modeller with advanced programming expertise to develop and implement components of the Agricarbon Ecosystem Model (AEM) using Python. Our team is looking for someone with strong analytical skills and experience in working with complex ecosystem models.

You will be responsible for:

  • Developing and implementing model components, including plant growth models (LINTUL-5, LINGRA), soil organic carbon models (RothPC, RothPC-N), and soil water models.
  • Integrating different AEM components, ensuring seamless data flow between plant growth, soil carbon, water, nitrogen, and livestock models within the Bayesian data assimilation framework.
  • Contributing to the development and maintenance of the Bayesian data assimilation framework that underpins the AEM, ensuring robust uncertainty quantification and model calibration.
  • Evaluating and implementing machine learning and statistical models using Python libraries to enhance overall accuracy and predictive power.

Key Responsibilities:

  1. Model Development: Configuring, running, and extending existing model components such as LINTUL-5 (arable crops), LINGRA (grass), RothPC-N (soil organic carbon and nitrogen), developing Python implementations that maximise the benefit of our access to the world's largest soil carbon database.
  2. Data Science Proficiency: Extensive experience with machine learning techniques and their application to environmental data, including model validation and statistical analysis.
  3. Problem-Solving Skills: Excellent analytical and problem-solving abilities with extreme attention to detail and a rigorous approach to model development.

Requirements:

  1. Master's degree or PhD in Data Science, Environmental Science, Computer Science, or related field with a strong focus on modelling and programming.
  2. 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).
  3. Environmental Modelling Experience: Proven experience developing and working with ecosystem models or related areas.

We offer:

  • A dynamic and collaborative work environment with opportunities for professional growth and development.
  • The chance to work on cutting-edge projects and contribute to the advancement of environmental modelling.
  • A competitive salary and benefits package.

About us:

We are a team of experts dedicated to advancing environmental modelling and its applications. Our mission is to provide innovative solutions for sustainable development and environmental conservation.

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