Experteer Overview

Compruebe a continuación si tiene lo necesario para esta ocasión y, si es así, envíe su solicitud lo antes posible.
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 / Beneficios
• 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 sharing

Responsabilidades
• MSc/PhD in Data Science, Computer Science, Geophysics, Remote Sensing, Applied Mathematics or related field
• Hands-on ML experience with CNNs xghoner and frameworks (PyTorch, TensorFlow)
• Strong Python and scientific computing skills (NumPy, SciPy, xarray)
• Experience with geospatial/remotely sensed data; SAR/InSAR experience is a 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 skills

Requisitos principales
•

📌 Data Scientist F/M (Barcelona)
🏢 Vinci
📍 Barcelona