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.L1 Data Quality Monitoring &amp; Outlier Detection<ul><li>Develop and improve Python-based algorithms to identify noise, dead pixels, and other artifacts in thermal EO imagery.</li><li>Apply image processing techniques (e.g., filtering, morphological operations, line detection) to detect and classify spatial and temporal anomalies.</li><li>Prototype, evaluate, and refine automated detection pipelines for operational use.</li><li>Support the creation and maintenance of curated reference datasets for monitoring instrument health. </li></ul>Collaboration &amp; Communication<ul><li>Work closely with the L1 team to integrate outlier detection into the broader calibration and validation framework.</li><li>Interface with the NRT AF team to ensure L1 products meet the requirements for downstream fire detection and other applications.</li><li>Present findings in internal meetings and document methodologies for reproducibility.</li></ul> Required Qualifications:<ul><li>Enrolled in a Bachelor’s or Master’s program in Remote Sensing, Physics, Computer Science, Electrical Engineering, or a related field.</li><li>Strong Python skills and experience with libraries such as NumPy, matplotlib, and image processing tools (e.g., scikit‑image, OpenCV).</li><li>Understanding of data structures, algorithms, and signal/noise concepts.</li><li>Good communication skills and the ability to collaborate across interdisciplinary teams.</li></ul>Preferred Qualifications:<ul><li>Familiarity with remote sensing data formats (e.g., NetCDF, GeoTIFF).</li><li>Prior experience with satellite image analysis or EO data quality monitoring.</li><li>Interest in thermal infrared data and satellite sensor calibration.</li></ul>At OroraTech, you can expect a down-to-earth yet high-caliber work environment. You will be part of the OroraTech team - a talented, international, and open-minded team that is highly motivated to create impact. OroraTech allows you to grow on a professional and personal level. <ul><li>You have the opportunity to become part of our firefighting mission from space and deliver the tools to better cope with natural disasters and mitigate climate change - could a job be any cooler?</li><li>You will be responsible for your own project(s), time management, and budget.</li><li>You will gain insights into the most exciting new technologies and business models.</li><li>We offer a wide variety of benefits including drinks, snacks and sports.</li><li>There is the opportunity to become part of our virtual employee stock option program (VSOP) for all permanent employees.</li><li>You will always have a great story to tell at parties!</li></ul>If you apply: We value well-crafted motivation letters stating how you learned about OroraTech, why you think you would be a great addition to the team and why you want to work at a NewSpace start-up. Please always include references of your prior work (for example, your thesis, talks, papers, code repositories, websites, write-ups, articles, apps, exposes, anything), if permissible. Please avoid detailed grade reports and online certificates.