Postdoctoral Researcher in AI for Weather Forecasting

This two-year postdoctoral position at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) focuses on developing AI-based weather forecasting methods under the supervision of Prof. Souhaib Ben Taieb. Collaborating with the AI for Climate initiative at the University of Chicago, the role aims to enhance probabilistic forecasting, uncertainty quantification, and operational deployment of AI models in agriculture and climate-sensitive sectors. The successful candidate will conduct original research, evaluate forecasting accuracy, and engage with international stakeholders to bridge research and real-world applications. The position offers a competitive tax-free salary, comprehensive benefits, and full visa support, making it ideal for researchers passionate about AI-driven climate solutions.

• Develop and evaluate advanced AI-based weather forecasting models using probabilistic and ensemble methods.
• Assess forecast accuracy, calibration, and regional performance using deterministic and probabilistic metrics.
• Design forecasting models optimized for operational settings, particularly for agricultural and climate-sensitive applications.
• Publish research findings in top-tier AI and climate science venues and communicate results to technical and interdisciplinary audiences.
• Collaborate with research institutions, government agencies, and meteorological services to transfer knowledge and training.
• Work with large-scale weather/climate datasets (reanalysis, satellite, observational, and forecast data).
• Conduct original research in uncertainty quantification, data assimilation, and spatiotemporal modeling.