Research Associate Position in Contrastive Learning and GeoAI
Technical University of Munich (TUM)
Germany
Summary
Three-year full-time research role developing hard negative sampling and coreset strategies for contrastive representation learning in geospatial AI, applied to aerial, street-view, and LiDAR data using scalable ML, vision, and distributed computing methods.
