Image Processing Intern

The Role

• We are looking for a motivated Image Processing Intern to join our
• data processing and algorithm development team. The role involves helping
• develop pipelines that convert raw satellite optical data (L0) into L1C and L2A
• products. The intern will learn how satellite optical imaging systems work and
• apply this knowledge to processing, noise reduction, and sensor simulation.

Key Responsibilities

1.Optical Processing Pipeline

Development

• ○Help develop and test
• algorithms that convert raw satellite optical data (L0) into calibrated and
• georeferenced L1C and L2A products.
• ○Work on key processing steps
• such as radiometric and geometric correction, geolocation, orthorectification,
• and atmospheric correction.
• ○Write modular, testable, and
• efficient code for operational pipelines.

2.Satellite Optical Imaging

Systems

• ○Learn how satellite optical
• imaging systems form images, including the role of optics, detectors,
• electronics, viewing geometry, and platform motion.
• ○Use this understanding to
• support calibration, correction, reconstruction, and product-generation
• algorithms.
• 3.Noise Modelling and

Mitigation

• ○Study and model common sensor
• noise, detector variations, defective pixels, quantisation effects, and imaging
• artefacts.
• ○Develop and test methods to
• reduce these effects while preserving image quality.
• 4.Sensor and Imaging

Simulation

• ○Build simple, physics-based
• simulators for image formation, sensor response, sampling, geometry, and noise.
• ○Use simulated and real data to
• test algorithms and study the effect of sensor parameters.
• 5.Validation, Collaboration,
• and Documentation:
• ○Define and use basic metrics to
• evaluate radiometric quality, geometric accuracy, noise, and product
• consistency.
• ○Collaborate with the Software,
• Remote Sensing, Payload, and Systems teams to integrate algorithms.
• ○Clearly document code, methods,
• assumptions, experiments, and results.

Requirements

• Pursuing a Bachelor's or Master's degree in Computer Science, Electrical or Electronics Engineering, Aerospace Engineering, Remote Sensing, Physics, or a related field.
• Good foundations in image processing, computer vision, signal processing, and mathematics.
• Proficiency in Python and C++, with familiarity with libraries such as NumPy, SciPy, OpenCV, Rasterio, or GDAL.
• Basic understanding of optical imaging, sensors, radiometry, sampling, noise, and calibration.
• Familiarity with satellite data products, coordinate systems, geometric transformations, geolocation, or atmospheric correction.
• Exposure to sensor simulation, scientific programming, or geospatial datasets is desirable.
• Coursework or experience in remote sensing, optimisation, TensorFlow, or PyTorch is a plus.

Benefits

• Contribute to real satellite Earth Observation processing systems.
• Learn from remote-sensing scientists, payload engineers, and software developers.
• Gain hands-on experience with optical data, calibration, L0-to-L1C/L2A processing, sensor modelling, and data fusion.
• Work in a dynamic and innovative space-technology startup.