Student Assistant (Werkstudent) in Digital Mapping & GIS

Company: Toll Collect GmbH Title: Student Assistant (Werkstudent*in) in Digital Mapping & GIS Are you looking to gain practical experience alongside your studies? Data is the compass of our world—and we know exactly how to read it. In a time when precise spatial information forms the foundation for forward-looking decisions, we bridge the gap between complex geospatial data and real-world applications. Join our team and help shape tomorrow’s MMVNet and other mapping initiatives! Here’s how you’ll contribute: Core Responsibility: Develop prototype methods for the automated detection of errors and inconsistencies in map data by integrating existing map data with street-level imagery, satellite, and aerial imagery. Machine Learning: Support the development and implementation of algorithms for automated image analysis and anomaly detection in map data. Spatial Analytics: Analyze and fuse image and geospatial data to identify discrepancies and generate actionable insights for our map management processes. Project Support: Assist in preparing, analyzing, and evaluating image and map data for ongoing projects, and present results in a professional manner. Database Engineering: Contribute to building and maintaining our image and geospatial data infrastructure (e.g., PostGIS) and support the processing of large datasets. What you bring: Study Status: Currently enrolled (for at least one more year) in Computer Science, Data Science, Geoinformatics, Geography, Cartography, or a related field. Machine Learning: First-hand experience with ML, ideally with vision models for automated image analysis. Programming Skills: Proficiency in Python (ideally with PyTorch, TensorFlow, OpenCV, or scikit-learn) and basic SQL knowledge. Prior experience with GitHub or GitLab is a plus. Geospatial Expertise: Solid understanding of geospatial data structures. Familiarity with GeoPandas, Shapely, Rasterio, or GDAL—and common geospatial formats (e.g., GeoPackage, GeoJSON)—is advantageous. Work Style: Strong affinity for complex data (e.g., OSM tags), geospatial, and image data; ability to work independently and in a structured manner. What’s in it for you: Intensive onboarding by experienced colleagues Competitive hourly wage (€17/hour) Hybrid work model Flexible working hours Monday–Friday (flextime) Central location at Potsdamer Platz with excellent public transport links €6 daily lunch allowance at partner restaurants Does this sound like your next student assistant role? Apply now! At Toll Collect, you’ll connect the theory you’ve learned at university with real-world practice and gain valuable experience for your professional future. Want to support us in our important mission? We look forward to receiving your application documents. Your personal data will be processed in accordance with our privacy policy for job applicants. Our application process includes an initial phone interview followed by an in-person interview. Applicants with severe disabilities (m/f/d) will be given preference if equally qualified. Have questions? Maja Schock is happy to answer them—contact her at: [email protected] Toll Collect GmbH Human Resources Linkstraße 4 10785 Berlin Detected Language: German