Experteer Overview In this role, you will extend and optimize the Atlas InSAR processing chain and build new features for our satellite-based ground deformation products. You will work at the intersection of remote sensing, geophysics, and applied machine learning to deliver robust, production-ready tools. You’ll collaborate with geophysicists and engineers to translate research into scalable solutions that help monitor infrastructure and natural hazards. This is a hands-on, impact-driven position with a focus on real-world performance and cross-functional teamwork.Compensaciones / Ventajas
- Design, develop, and optimize InSAR processing components
- Implement new features to expand processing capabilities and product offerings
- Design and deploy CNN-based models for phase unwrapping, atmospheric correction, anomaly/deformation detection, and signal classification
- Handle large volumes of SAR/Interferometric data and build scalable data pipelines
- Collaborate with geophysicists, radar engineers,



and software developers to productionize research
- Validate model outputs against ground truth and iterate based on performance
- Contribute to technical documentation and knowledge sharingResponsabilidades
- MSc/PhD in Data Science, Computer Science, Geophysics, Remote Sensing, Applied Mathematics or related field
- Hands-on ML experience with CNNs and frameworks (PyTorch, TensorFlow)
- Strong Python and scientific computing skills (NumPy, SciPy, xarray)
- Experience with geospatial/remotely sensed data; SAR/InSAR experience isa plus
- Familiarity with signal/image processing techniques
- Ability to work with large datasets and build production-grade pipelines
- Strong analytical mindset and independent problem-solving
- Excellent English communication skillsRequisitos principales
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📌 Data Scientist F/M (Barcelona)
🏢 Vinci
📍 Barcelona