Research Associate

Job Profile

• Develop and apply AI/ML algorithms to improve climate model simulations and forecasts (e.g., rainfall, temperature, monsoon, sea-level rise, extreme events).
• Design and implement AI/ML-based model bias correction methods to reduce systematic errors in global and regional climate models.
• Apply statistical and ML-based downscaling techniques to generate high-resolution climate projections.
• Work with large-scale climate datasets (CMIP6, ISIMIP, CORDEX, ERA5, satellite observations) to preprocess, analyze, and derive insights.
• Develop user-oriented portals/tools for visualization, climate risk assessment, and dissemination.
• Use climate data processing tools such as CDO, FERRET, NCL, and handle NetCDF/HDF data formats.
• Implement advanced data analysis and visualization workflows using Python libraries such as:
• pandas, numpy, xarray, geopandas for climate and geospatial data processing
• scipy.stats (e.g., linregress) for statistical analysis
• plotly.express for interactive visualization
• asyncio for asynchronous and parallel computation
• Collaborate with climate scientists, hydrologists, and data engineers to integrate AI pipelines with physical modelling frameworks.
• Contribute to projects on climate extremes, monsoon dynamics, thermodynamics, and sea-level/storm surge modelling.
• Publish research findings in high-impact journals and contribute to open-source climate-AI tools.

Experience

2 - 5 Years

Qualification

- Master-s or PhD in- Climate Science- Atmospheric Sciences- Physics- Data Science- Applied Mathematics- Ocean Science or related fields.

Skills

Location

Delhi

Please apply latest by December 28, 2025