Experteer Overview
In this role, you will contribute to building and refining the Atlas InSAR processing chain, combining remote sensing, geophysics, and applied machine learning. You will work on maintaining core capabilities and shipping new features that advance our ground deformation monitoring products. You’ll collaborate with geophysicists, radar engineers, and software developers to translate research into production-ready tools. This position offers hands-on work at the intersection of Earth observation and ML with real-world impact and a clear shift from research to deployment.

Compensaciones / Incentivos
• Design, develop, and optimize InSAR processing tools and chain
• Implement new features to extend processing capabilities
• Design and deploy ML models (CNNs) for phase unwrapping, atmospheric correction, anomaly/deformation detection, and signal classification
• Handle large volumes of SAR/inSAR data and build scalable pipelines
• Collaborate with geophysicists, radar engineers,



and software developers to deploy research into production
• Validate model outputs against ground truth and domain expertise; iterate based on performance
• Contribute to technical documentation and knowledge sharing

Responsabilidades
• MSc/PhD in Data Science, Computer Science, Geophysics, Remote Sensing, Applied Mathematics, or related field
• Hands-on ML experience with CNNs and deep learning frameworks (PyTorch, TensorFlow)
• Strong Python programming skills and scientific computing libraries (NumPy, SciPy, xarray)
• Experience with geospatial or remote sensing data (SAR/InSAR a strong plus)
• Familiarity with signal/image processing techniques
• Ability to work with large datasets and build production-grade data pipelines
• Strong analytical mindset and ability to work independently
• Excellent written and oral English communication

Requisitos principales
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📌 VIE - Data Scientist F/M (Barcelona)
🏢 Vinci
📍 Barcelona