(DMR) Common Task Framework for UCT Processing: Benchmark Dataset Generation

Are you curious about how the U.S. Space Force identifies and tracks unknown objects in orbit? Join the SDA TAP Lab project to help build the data infrastructure that powers space situational awareness. This project focuses on creating a standardized, web-based system to label and store data on uncorrelated tracks (UCTs)—objects in space that don’t match known satellites. You’ll help develop the tools that feed into a Common Task Framework, enabling future machine learning algorithms to detect, classify, and respond to space threats in real time. If you’re interested in working with real-world orbital data, developing structured datasets, and supporting national security missions, this is your chance to make a real impact.