Hourly basis; not specified; comprehensive benefit...
Onsite, 5 days a week
Temporal neural network design
Digital signal processing fundamentals
Rf signal detection and classification
Carnegie Mellon University is seeking an RF Cyber Lab Intern to assist in the development and refinement of RF signal detection and classification techniques. The ideal candidate should have a background in electrical or computer engineering, knowledge of temporal neural networks, and programming skills, while the position offers valuable benefits and opportunities for professional growth
Job Summary
The role focuses on developing highly resilient RF communications for contested environments within the SEI lab.
Candidates will spend 70% of their time analyzing RF signals and 20% preparing sample data for processing.
The position offers comprehensive benefits including medical insurance, retirement contributions, and a free transit pass.
Matching Summary
Match Score: 85
Carnegie Mellon University is seeking an RF Cyber Lab Intern to assist in the development and refinement of RF signal detection and classification techniques. The ideal candidate should have a background in electrical or computer engineering, knowledge of temporal neural networks, and programming skills, while the position offers valuable benefits and opportunities for professional growth.
Salary
Hourly basis; Not specified; Comprehensive benefits package included
Skills & Requirements
Must-have
Temporal neural network design
Digital signal processing fundamentals
RF signal detection and classification
Spiking temporal neural network implementation
Nice-to-have
Engagement with CMU-NCA Lab
Strong analytical skills
Collaboration in defense environments
Key Requirements
Enrolled in masters or post-graduate program
Bachelor's degree in electrical or computer engineering
Completed CMU 18-743 or equivalent course
Eligible to work in US without visa sponsorship
Pass background check
Work Rights
Must be eligible to work in United States without Visa sponsorship