Image Processing & CAL/VAL Intern — Earth Observation

Loft Orbital; Toulouse; Presencial; EUR 13.000 - 16.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Gratification: €1,300 gross/month

Lunch vouchers

Sustainable mobility package

International environment

Mentoring program

Descripción de la vacante

Loft Orbital is seeking an intern to join the End-to-End Validation & Performance (EVP) team in Toulouse. You will contribute to image-processing, calibration/validation activities for Earth-observation missions and turn work into an evaluated engineering prototype.

The internship includes a 6-month duration with an early-2027 start, based in the city center. You will gain experience in radiometric calibration, PRNU/DSNU correction, experimental design, and building reproducible engineering

Formación

• Student in engineering, applied physics, remote sensing, image processing, data science, or a related field.
• Fundamentals of signal or image processing and a strong interest in Earth observation.
• Basic programming skills in Python and comfort working with scientific data.
• Analytical mindset, rigor, and ability to document assumptions and limitations.
• Interest in calibration, validation, sensor behavior, or image quality assessment.
• Exposure to satellite imagery or remote-sensing data.
• Experience with optimization, statistical estimation, or machine-learning evaluation.
• Familiarity with image-analysis libraries and scientific Python tools.
• Understanding of radiometric calibration or data-quality assessment.

Responsabilidades

• Review DSNU, radiometric calibration, and EVP processing/CAL/VAL practices.
• Collaborate with EVP engineers to identify suitable images, metadata, and reference data.
• Document data limitations and provenance.
• Prepare a reproducible dataset and establish a holdout evaluation strategy.
• Implement a baseline estimator: a data-fit term with a regularizing prior.
• Explore AI/ML methods only where data are available and compare to the baseline.
• 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 inputs, parameters, and outputs.
• Present findings and recommendations to EVP and CAL/VAL stakeholders; document evidence needed before operational use.

Conocimientos

Python basics

Image processing

Remote sensing

Data science

Analytical mindset

Documentation & reporting

Optimization/ML evaluation

Image-analysis libraries

Educación

Student in engineering / applied physics / remote sensing / image processing / data science

Descripción del empleo

Loft Orbital is seeking an intern to join the End-to-End Validation & Performance (EVP) team in Toulouse. You will contribute to image-processing, calibration/validation activities for Earth-observation missions and turn work into an evaluated engineering prototype.

The internship includes a 6-month duration with an early-2027 start, based in the city center. You will gain experience in radiometric calibration, PRNU/DSNU correction, experimental design, and building reproducible engineering