Data Engineer For Machine Learning (España)

Data Engineer For Machine Learning (España)

02 oct
|
Barcelona Supercomputing Center
|
España

02 oct

Barcelona Supercomputing Center

España

Data/ML Engineer for Regional AI Weather/Climate Forecasting Datasets (RE1-2)
Data/ML Engineer for Regional AI Weather/Climate Forecasting Datasets (RE1-2)
The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D; into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
BSC-CNS YouTube Channel




We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. 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-o

📌 Data Engineer For Machine Learning (España)
🏢 Barcelona Supercomputing Center
📍 España

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