
The RFCyber Lab Intern role is a full-time, on-site position at Carnegie Mellon University in Pittsburgh, focusing on advancing resilient RF communications in contested environments. The intern works within the SEI team to develop and refine novel detection and classification techniques for RF signals using temporal neural networks and digital signal processing. Key responsibilities include designing and implementing spiking temporal neural networks, analyzing RF signal data, and preparing sample datasets for processing. This opportunity appeals to candidates seeking to apply advanced engineering skills in a collaborative research setting with access to state-of-the-art lab facilities. The position offers a chance to contribute to critical national security research while benefiting from comprehensive support including health insurance, retirement savings, and professional development resources.

