NASA has selected four university teams to support aeronautics research through its University Leadership Initiative, providing about $30 million in multiyear funding. The ninth round of awards aligns with NASA's goals to advance supersonic flight, AI-enabled avionics, low-noise urban air mobility, and improved aircraft design methods. The projects are: Adaptive Supersonic Combined Cycle Engine for Next-generation Transportation, led by Terrence Meyer, will develop a fuel-flexible propulsion system capable of Mach 4+ supersonic cruise using a turbofan for subsonic phases and a ramjet for supersonic phases; Safety Across Lifecycle of Learning-enabled Avionics Systems: Safety Data Flywheel, led by Somil Bansal, will create a machine-learning-based avionics system that maintains safety throughout operation to enable AI integration in the national airspace; Noise-optimal Trajectory Planning for Urban Air Mobility Operations, Including Ambient Noise, led by Juan Alonso, will develop a high-fidelity simulation framework to design low-noise flight paths for urban aircraft; and Certification Driven Aircraft Design Under Uncertainty, led by Darshan Sarojini, will apply model-based systems engineering and uncertainty quantification to improve design efficiency and reduce costly redesigns. The initiative, part of NASA's Research and Technology Mission Directorate, aims to develop a skilled aeronautics workforce while delivering research findings that could shape future aviation technology.