THE MISSION

As a Working Student in OroraTech’s Level‑1 (L1) product team, you will play a key role in ensuring the scientific validity and operational reliability of our thermal infrared satellite data. Your primary focus will be the detection and characterization of anomalies—such as dead pixels, artifacts, and other outliers—in Level‑1 radiance products, to ensure they are of the highest quality for downstream applications.
You will develop and refine algorithms, apply image processing techniques, and collaborate closely with the NRT AF (Active Fire) team and other internal stakeholders to maintain robust data quality standards. Your work will directly contribute to the reliability of mission‑critical products used by global wildfire management agencies, commercial partners, and scientific institutions.

RELEVANT SKILLS

Required Qualifications:

• Enrolled in a Bachelor’s or Master’s program in Remote Sensing, Physics, Computer Science, Electrical Engineering, or a related field.
• Strong Python skills and experience with libraries such as NumPy, matplotlib, and image processing tools (e.g., scikit‑image, OpenCV).
• Understanding of data structures, algorithms, and signal/noise concepts.
• Good communication skills and the ability to collaborate across interdisciplinary teams.

Preferred Qualifications:

• Familiarity with remote sensing data formats (e.g., NetCDF, GeoTIFF).
• Prior experience with satellite image analysis or EO data quality monitoring.
• Interest in thermal infrared data and satellite sensor calibration.