RF Cyber Lab Intern
Core
Developing and refining novel detection and classification techniques for RF signals across various architectures using temporal neural networks and digital signal processing.
Role type
RF signal processing intern (temporal neural networks)
Builds
RF signal detection and classification systems
Domain
Defense / Government / RF Communications / Machine Learning
Deliverable
production ML models
Required skills
Temporal neural network design, Digital signal processing fundamentals, Spiking temporal neural network implementation, RF signal analysis, Python/C++ programming
Preferred skills
Experience with CMU-NCA Lab, CMU 18-743 coursework
Technologies
Neural network frameworks, Signal processing libraries
Responsibilities
Develop and analyze RF signal detection and classification algorithms, Prepare and collate sample RF data for processing, Develop supporting signal processing algorithms and systems
