The successful candidate will join the Computational Earth Sciences group within the Earth Sciences department to contribute to projects within the Destination Earth (DestinE) initiative. DestinE is a European Union flagship programme building high-precision digital replicas (“Digital Twins”) of the Earth system to support climate adaptation and extreme-weather preparedness.
The candidate will work to develop AI-ready datasets and data pipelines that support the training and evaluation of regional AI weather and climate forecasting systems, built on open-source frameworks such as Anemoi. This includes curating and preparing high-resolution simulation and observational data, building reproducible pipelines to make these datasets machine-learning-ready, and supporting their deployment and validation on high-performance and AI-oriented computing infrastructure. The role involves close collaboration with an international consortium of European meteorological and research institutions.
Key Duties
- Curate and assess regional analyses, forecasts,
and reanalyses for training and evaluating the regional AI forecasting system
- Design, build, and maintain reproducible ML data pipelines that transform raw simulation and observational data into Anemoi-compatible datasets
- Implement automated testing and CI/CD pipelines for the data-processing workflows
- Support deployment and validation of data pipelines on HPC and AI Factory infrastructure, including scalability and performance testing
- Collaborate with the international consortium and document pipelines to ensure reproducibility and traceability
Requirements
- Education
- Bachelor's degree in Computer Science, Physics, Environmental/Atmospheric Science, or a related discipline. A Master's degree or PhD in a relevant field will be highly valued.
- Essential Knowledge and Professional Experience
- Strong programming skills in Python and experience building data-processing/ETL pipelines.
- Experience h
📌 Data/ML Engineer for Regional AI Weather/Climate Forecasting Datasets (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona
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