Signal and image processing Engineer
Remote Role Group is  Seeking a highly skilled data scientist/ signal processing engineer to develop, implement, and analyze large-scale Interferometric Synthetic Aperture Radar (InSAR) workflows using Python on high-performance computing (HPC) systems at MIT LL. This role focuses on advanced geospatial signal processing, research, algorithm development, and close collaboration with technical experts, humanitarian aid specialists, and internal/external stakeholders
Responsibilities include but not limited to: - Conduct research on InSAR methodologiesâ
- Develop, optimize, and maintain Python-based processing pipelines.â
- Process and analyze SAR image data into InSAR products such as displacement and velocityâ
- Integrate GPS/GNSS data with InSAR measurements for validation, calibration, and interpretationâ
- Apply statistical machine-learning techniques including Gaussian Mixture Modeling (GMM) and other toolsâ to help create or improve landslide susceptibility maps. â
- Collaborate closely with technical and research teams as well as non-technical stakeholders.â
- Document algorithms, workflows, and findings in clear and reproduceable technical documentation. â Must Have:
Python
InSAR
Image-based data sets
Python
Technical Documentation Work Location:
This position is REMOTE. The candidate is able to work remotely from any location. They may be asked to take up to 4 trips per calendar year to Lexington if the program/project requires it. Travel:
This role may require limited travel (several times a year) domestically and internationally.
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