GAF AG is an internationally successful company that specialises in cross-platform geoinformation solutions and the development of innovative earth observation applications. In addition to receiving and procuring satellite-based earth observation data, GAF holds a leading position in the areas of data processing and geo-consulting due to its 40 years of expertise. With an international and interdisciplinary team of experts, GAF sets standards for geospatial consulting, cloud- and AI-based data analysis, and satellite-based monitoring of the environment and natural resources in Europe and around the globe.
To further strengthen our team for land cover mapping and monitoring at our headquarters in Munich, we are now looking for an enthusiastic

DESIRABLE KNOWLEDGE:

• Knowledge of tropical forest ecosystems and deforestation patterns
• Experience in handling in-situ data (e.g. OSM, national datasets)
• Experience in handling large volumes of data (vector and raster data processing)
• Knowledge of the European Copernicus Earth Observation Program
• Practical experience in visual interpretation of satellite image data in terms of land cover/land use
• Basic understanding of a high-level programming language (e.g. Python, R) that enables you to read and understand basic scripts.
• Hands-on experience with machine learning models is a plus
• Good command of the ArcGIS Model Builder
• Knowledge of German

HAVE WE AROUSED YOUR INTEREST IN THIS POSITION?

Then we are looking forward to receiving an application from you, including a cover letter and CV together with any other useful supporting documents, and stating your (gross) salary expectation and earliest availability.
Please send your application to recruiting@gaf.de, stating “Junior Expert Land Cover Mapping” in the subject line.

• Regional calibration and roll-outs of machine learning models for EO-based land cover classification and estimation of biophysical variables
• Creation and quality control of training and validation datasets
• Pre-and post-processing of vector and raster data
• Thematic, geometric and semantic quality control of vector and raster data, in particular of land cover/land use products
• Thematic interpretation of high and very-high resolution optical satellite imagery and derivation of high-quality products
• Collaboration within a small team, across departments and with international partners