Computing and Mathematical Sciences Division - Research Engineer: AI for Weather Forecasting
Role Overview
MBZUAI invites applications for a fully funded Research Engineer position in AI for Weather Forecasting, supervised by Prof. Souhaib Ben Taieb.
The position lasts 3–12 months, with flexibility, in a collaborative research program between MBZUAI and the University of Chicago's AI for Climate initiative.
The program advances AI-based weather forecasting and supports operational use in low- and middle-income countries.
Key Skills for This Role
Full Job Posting
Role overview
MBZUAI invites applications for a fully funded Research Engineer position in AI for Weather Forecasting, supervised by Prof. Souhaib Ben Taieb.
The position lasts 3–12 months, with flexibility, in a collaborative research program between MBZUAI and the University of Chicago's AI for Climate initiative.
The program advances AI-based weather forecasting and supports operational use in low- and middle-income countries.
Key responsibilities
- Implement and evaluate machine-learning methods for weather forecasting and related spatiotemporal problems.
- Build reproducible workflows for processing data, training models, and evaluating forecasts.
- Conduct experiments, establish baselines, analyze model performance, and troubleshoot technical issues.
- Develop and document forecasting models and research software for research and operational settings.
- Collaborate with researchers and national and international partners working in weather and climate services.
Required qualifications
- Experience applying machine-learning methods to weather forecasting, climate analysis, or spatial data.
- Strong Python programming skills and experience with a commonly used machine-learning framework.
- Experience with weather or climate datasets, including reanalysis, satellite, observational, or forecast data.
- Knowledge of machine learning and statistical modeling.
- Excellent organizational and communication skills, including written and spoken English.
- Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science, Atmospheric or Climate Science, or a related discipline.
Preferred qualifications
- Familiarity with xarray, Dask, NetCDF, or Zarr; GPU computing, distributed training, high-performance computing, or cloud computing.
- Experience with probabilistic forecasting, ensemble methods, uncertainty quantification, data assimilation, or forecast evaluation.
- Experience with Git, Linux, automated testing, reproducible environments, or container tools.
- Familiarity with agricultural or environmental weather applications and interdisciplinary or international collaborations.
- Coursework or training in machine learning, spatiotemporal modeling, weather or climate science, data assimilation, or scientific computing.
Compensation and benefits
- The role includes a competitive tax-free monthly salary, housing allowance, comprehensive medical insurance, an annual return flight, and visa application support.
- The posting also describes health and life insurance and relocation support for international hires.
Application materials
- Applicants are asked to submit a cover letter, CV, Google Scholar profile link, a 1–2 page research statement, and contact details for two referees.
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