Computer scientist

Remote sensing, with its various sensors and platforms, is a valuable data source for traffic research. Entire cities and regions can be captured on a large scale and analyzed with respect to traffic-related questions. The Institute for Remote Sensing Methodology regularly acquires aerial imagery using the aircraft and helicopters of the DLR research fleet, as well as institute-owned camera systems. In addition, the institute has access to high-resolution satellite imagery. To make optimal use of these sensor systems, methods and algorithms are developed for the automatic extraction of traffic objects and traffic areas. These innovative algorithms play a role, for example, in the development of highly accurate, de-tailed maps for automated driving or in improving micro- and macroscopic traffic models. Novel deep learning algorithms achieve very promising results, which can be further improved and adapted to the respective task.

your tasks

• Further development of deep learning algorithms (AI methods) for application on high-resolution aerial and satellite data to capture traffic areas, including their functions (e.g., roads, access routes, bicycle paths, etc.)
• Development of a pre-operational software processor, including AI algorithms, for large-scale mapping of traffic areas
• Validation of results using independent datasets and accuracy assessments of the developed methods
• Collaboration with project partners to utilize the data for addressing traffic science-related questions
• Scientific publication of results and presentation at national and international conferences

• Completed academic university degree (Diploma/Master’s) in computer science, machine learning, or a comparable field of study
• Advanced programming skills in Python and experience with deep learning frameworks (especially PyTorch)
• Practical experience with state-of-the-art computer vision and deep learning models such as CNNs and transformers
• Experience in applying AI methods and optimizing performance with respect to accuracy and processing speed
• Ability to work collaboratively in an interdisciplinary team, strong problem-solving, communication, and presentation skills
• Good English skills (B2 level or higher)
• Experience working with remote sensing data and GIS software (e.g., ArcGIS, QGIS) is an advantage We look forward to getting to know you!

The Remote Sensing Technology Institute is a DLR institute with sites in Oberpfaffenhofen near Munich, Berlin-Adlershof and Neustrelitz in Mecklenburg-Western Pomerania. Together with the German Remote Sensing Data Center, the institute forms the Earth Observation Center EOC, the centre of excellence for earth observation in Germany.