Research Engineer AI for Weather Forecasting

About the role

MBZUAI is seeking a fully funded Research Engineer to develop AI-driven weather forecasting solutions for 3‑12 months. The position is part of a collaborative program with the University of Chicago and is supported by UAE and Gates Foundation funding.

Key responsibilities

• Implement and evaluate machine‑learning methods for weather forecasting and spatiotemporal problems.
• Build reproducible workflows for data processing, model training, and forecast evaluation.
• Conduct experiments, establish baselines, analyze performance, and troubleshoot technical issues.
• Develop and document forecasting models and research software for research and operational use.
• Collaborate with national and international partners in weather and climate services.

Required profile

• Experience applying machine‑learning to weather forecasting, climate analysis, or spatial data.
• Strong Python programming skills and familiarity with a major ML framework.
• Experience with weather or climate datasets (reanalysis, satellite, observational, or forecast data).
• Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science, Atmospheric or Climate Science, or related field.
• Excellent written and spoken English communication skills.

Required skills

• Python
• Machine‑learning frameworks (e.g., TensorFlow, PyTorch)
• xarray, Dask, NetCDF, Zarr
• GPU computing, distributed training, high‑performance or cloud computing
• Probabilistic forecasting, ensemble methods, uncertainty quantification
• Git, Linux, automated testing, reproducible environments, container tools

What we offer

• Competitive tax‑free monthly salary
• Housing allowance
• Comprehensive medical insurance
• Annual return flight
• Full visa application support