Postdoctoral Fellow: AI Weather Forecasting, Fully Funded

MBZUAI (Mohamed bin Zayed University of Artificial Intelligence); Abu Dhabi; On-site; AED 335,000 - 469,000; Full time

Benefits offered by this job

Comprehensive health & life insurance

Relocation support for international H

Live in Abu Dhabi

Industry & Government Collaborations

Job summary

MBZUAI invites applications for a fully funded two-year Postdoctoral Researcher position in AI for Weather Forecasting under the supervision of Prof. Souhaib Ben Taieb.

The role is embedded within a collaborative research program between MBZUAI and the AI for Climate initiative at the University of Chicago, supported by funding from the International Affairs Office at the Presidential Court of the United Arab Emirates and the Gates Foundation.

Qualifications

• Experience applying machine-learning methods to weather forecasting, climate analysis, or spatial data.
• Strong background in spatiotemporal modeling, probabilistic prediction, or time-series analysis.
• Proficiency in Python; hands-on experience with PyTorch or JAX.
• Experience working with weather or climate datasets (reanalysis, satellite, observational, or forecast).
• Strong publication record in AI or domain-relevant venues and excellent English.
• PhD in relevant field (CS, Atmospheric/Climate Science, Applied Math, Statistics).

Responsibilities

• Conduct original research in probabilistic and ensemble weather forecasting, deep learning for spatiotemporal data, uncertainty quantification, data assimilation, or related areas.
• Develop and evaluate AI-based weather forecasting methods using reanalysis, satellite, observational, and forecast datasets.
• Assess forecast accuracy, calibration, extremes, and regional performance using appropriate probabilistic and deterministic metrics and reproducible benchmarks.
• Develop forecasting models suitable for operational settings, with particular emphasis on agriculturally relevant products and regional and sector-specific needs.
• Publish research in top-tier AI or domain-relevant venues and communicate findings to technical, interdisciplinary, and operational audiences.
• Collaborate with research institutions, government agencies, national meteorological and hydrological services, agricultural institutions, and practitioners; contribute to training and knowledge transfer.

Skills

Machine learning for weather/climate/‑

Spatiotemporal modeling

Probabilistic prediction

Time-series analysis

Python

English proficiency

Education

PhD in Computer Science or Atmospheric/Climate Science or Applied Mathematics/Statistics

Tools

PyTorch

JAX

xarray

Dask

NetCDF

Zarr

Job description

MBZUAI invites applications for a fully funded two-year Postdoctoral Researcher position in AI for Weather Forecasting under the supervision of Prof. Souhaib Ben Taieb.

The role is embedded within a collaborative research program between MBZUAI and the AI for Climate initiative at the University of Chicago, supported by funding from the International Affairs Office at the Presidential Court of the United Arab Emirates and the Gates Foundation.