
Climate Model Developer
18 hours ago
The successful candidate will lead the development of climate intelligence models, ensuring a solid foundation for our Marine & Aviation platform. The role can be structured as full-time or consultancy/advisory basis.
Key Responsibilities- Data Management:
- Curate and analyze large-scale climate datasets from ERA5, CMIP6, IMERG, HYCOM, CMEMS, buoy & radar archives.
- Develop data-driven methodologies for Quantitative Precipitation Estimation (QPE) and Quantitative Current Estimation (QCE).
- Integrate rainfall, currents, waves, and tide datasets into unified climate models.
- Forecasting & Validation:
- Collaborate on the design of AI-driven rainfall and ocean current forecasts.
- Establish skill metrics and validation frameworks against gauges and station networks.
- Support integration of aviation climatology, including turbulence, wind shear, and visibility indices.
- Domain Leadership:
- Mentor the AI/ML team on best practices in climatology.
- Advise on extreme events such as monsoons, cyclones, storm surges, and turbulence corridors.
- Represent the organization in collaborations with international climate centers.
- Impact & Translation:
- Translate scientific outputs into actionable insights for Navy, Ports, Aviation, and Disaster Management.
- Shape dashboards, tiles, and alerts to reflect climatological reliability.
- PhD/Master's degree in Climatology, Atmospheric Science, Meteorology, Oceanography, or related field.
- 10+ years research or applied experience in climatology/weather modeling/marine or aviation meteorology.
- Proven expertise with datasets like ERA5, IMERG, CMIP, HYCOM, WaveWatch III.
- Knowledge of assimilation techniques, including Kalman filters and variational assimilation.
- Strong coding skills in Python (xarray, netCDF4, numpy, matplotlib); GIS skills are a plus.
- Track record of publications or operational contributions (IMD, INCOIS, IITM, WMO, ECMWF, or equivalent).
- Opportunity to shape India's first AI-powered Marine & Aviation Intelligence platform.
- Collaboration with a passionate cross-functional team (AI, oceanography, aviation).
- Recognition for senior climatologists with 15–25 years experience (IMD, INCOIS, IITM, ECMWF).
- Flexible engagement models and competitive consultancy packages.
- Open to Full-time or Consultancy (Advisory) arrangements.
- Consultancy engagement may include monthly/quarterly advisory sessions, review of data assimilation & forecast models, validation of AI-driven outputs against climatological standards, mentorship of AI/data science team, and short-term project-based consulting for specific pilots (e.g., Navy, Ports, ATC).
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