Image Processing Intern: AI-Assisted Tools for CalVal

Wanna join the adventure? Loft Orbital is looking for an intern to join the End-to-End Validation & Performance (EVP) team and contribute to image-processing and calibration/validation (CAL/VAL) activities for Earth-observation missions. In this internship, you’ll explore how AIT captures and routine onboard imagery can support optical performance testing and radiometric calibration, and turn that work into an evaluated engineering prototype. Location: Toulouse office, city center (Jeanne d’Arc metro station) Duration: 6-month, end-of-studies internship — target start date: early 2027. About this role: Review DSNU, radiometric calibration, and relevant EVP processing and CAL/VAL practices. Work with EVP engineers to identify suitable routine images, metadata, and reference calibration data; document data limitations and provenance. Prepare a reproducible dataset and establish reference baselines, including a holdout evaluation strategy that avoids tuning and testing on the same acquisitions. Implement a baseline estimator: a data-fit term combined with a regularizing prior. Investigate additional AI/ML methods only where suitable training or validation data are available; compare them against the baseline rather than assuming they are superior. Evaluate correction quality, residual fixed-pattern structure, stability across images, runtime, and failure cases. Package the workflow as a prototype script or notebook with plots, quality checks, and an auditable record of input