✨ The Role in One Sentence

OroraTech is looking for a Working Student to ensure the quality of thermal infrared satellite data through anomaly detection and algorithm development.

📋 What You'll Likely Do

• 40%: Develop and improve Python-based algorithms to identify noise and artifacts in thermal EO imagery.

• 30%: Apply image processing techniques to detect and classify spatial and temporal anomalies.

• 30%: Collaborate with the L1 and NRT AF teams to integrate outlier detection and ensure product requirements are met.

🧑‍💻 Profiles Doing This Job

• High Priority: Enrolled in a Bachelor’s or Master’s program in Remote Sensing, Physics, Computer Science, or a related field.

• High Priority: Strong Python skills and experience with libraries such as NumPy, matplotlib, and image processing tools.

📈 How This Role Will Look on Your CV

• Developed algorithms for anomaly detection in thermal EO imagery, contributing to data quality and reliability.