Publisher
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Mohamed Bin Zayed University of Artificial Intelligence

Postdoctoral Researcher in AI for Weather Forecasting Mohamed bin Zayed University of Artificial Intelligence in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fully funded two-year postdoctoral position with a competitive tax-free monthly salary, housing allowance, comprehensive medical insurance, annual return flight, and full visa application support. The role is supported by funding from the International Affairs Office at the Presidential Court of the United Arab Emirates and the Gates Foundation.

Deadline

Nov 5, 2026

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Country

United Kingdom

University

Mohamed Bin Zayed University of Artificial Intelligence

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Keywords

Computer Science
Environmental Science
Agriculture
Deep Learning
Mathematics
Time Series Analysis
Earth Science
Uncertainty Analysis
Data Assimilation
Statistics

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About this position

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is inviting applications for a fully funded Postdoctoral Researcher position in AI for Weather Forecasting within the Computing and Mathematical Sciences Division.

The project is supervised by Prof. Souhaib Ben Taieb and is part of a collaborative research program between MBZUAI and the AI for Climate initiative at the University of Chicago. The work is supported by the International Affairs Office at the Presidential Court of the United Arab Emirates and the Gates Foundation.

Research topics include probabilistic and ensemble weather forecasting, deep learning for spatiotemporal data, uncertainty quantification, data assimilation, and related methods. The position also emphasizes developing operationally useful forecasting models, especially for agriculturally relevant products and regional or sector-specific needs.

Applicants should have a PhD in Computer Science, Atmospheric or Climate Science, Applied Mathematics, Statistics, or a closely related field. Strong experience with machine learning for weather or climate data, Python, and PyTorch or JAX is expected, along with a strong publication record and excellent English. Preferred experience includes WeatherBench 2, xarray, Dask, NetCDF/Zarr workflows, GPU or distributed training, and interdisciplinary collaboration.

The appointment is two years and includes a competitive tax-free monthly salary, housing allowance, comprehensive medical insurance, annual return flight, and visa support.

To apply, submit a cover letter, CV, Google Scholar profile link, a 1–2 page research statement, and contact details for two referees via the application link.

Deadline: 05 Nov 2026.

Funding details

Fully funded two-year postdoctoral position with a competitive tax-free monthly salary, housing allowance, comprehensive medical insurance, annual return flight, and full visa application support. The role is supported by funding from the International Affairs Office at the Presidential Court of the United Arab Emirates and the Gates Foundation.

What's required

PhD in Computer Science, Atmospheric or Climate Science, Applied Mathematics, Statistics, or a closely related field. Applicants should have 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 with weather or climate datasets such as reanalysis, satellite, observational, or forecast data; a strong publication record in top-tier AI or domain-relevant venues; and excellent written and spoken English. Preferred experience includes data assimilation, uncertainty quantification, ensemble methods, WeatherBench 2, xarray, Dask, NetCDF or Zarr workflows, GPU or distributed training, agricultural or environmental applications, and interdisciplinary or international collaboration.

How to apply

Submit a cover letter, CV, Google Scholar profile link, 1–2 page research statement, and the names and contact details of two referees. Apply through the provided Times Higher Education job link.

More information can be found here

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