Meteorology / Atmospheric Science Intern

Prayag.ai

Prayag.ai brings cutting-edge capabilities, the drive to experiment, and the ability to rapidly translate academic models into industry-grade prototypes — making it an ideal collaborator for ambitious, AI-enabled scientific initiatives.

Meteorology / Atmospheric Science Intern

Role Overview

meteorological domain expert

correct meteorological behaviour

Key Responsibilities:

Atmospheric Science & Data Interpretation

• Analyze synoptic charts, monsoon structure, vertical motion fields, moisture dynamics, easterly waves, ISOs/BSISOs, and coastal convergence patterns.
• Interpret key IMDAA reanalysis variables:
• CAPE, CIN, LCL
• Vertical velocity (omega)
• Moisture flux & convergence
• Relative humidity & temperature profiles
• Vorticity, divergence, pressure gradients
• Identify signatures of:
• convective bursts
• sea–land breeze interactions
• orographic uplift rainfall
• Bay of Bengal system influences
• tropical instability patterns

Supporting AI Training & Validation

• Provide

  physical constraints

  and scientifically valid thresholds that guide neural operator training.
• Evaluate AI model outputs for meteorological correctness, tropical realism, and physical consistency.
• Collaborate with the AI intern to iteratively improve model performance by explaining:
• why a prediction failed
• which atmospheric variables matter
• how convection behaved historically
• Contribute to the development of physics-aware validation metrics.

Required Qualifications

• Pursuing or completed:

• M.Sc/M.Tech/B.Tech

  in Meteorology, Atmospheric Science, Earth Sciences, Climate Science, Geophysics, or Physics.
• Strong understanding of monsoon meteorology and tropical convection.
• Ability to interpret reanalysis and observational datasets.

Preferred Skills

• Experience with: xarray, MetPy, Cartopy, NetCDF
• Familiarity with IMDAA, ERA5, satellite & radar datasets
• Exposure to WRF, NCUM, or NWP concepts

What You Will Gain

• Work with an AI–meteorology hybrid forecasting team.
• Contribute to a national-level rainfall nowcasting
• Learn how AI models integrate atmospheric physics for real-world impact forecasting.