Pyy basis: hourly; base: not specified; benefits: ...
5 days onsite
Temporal neural network design
Digital signal processing fundamentals
Rf signal detection and classification
The RFCyber Lab Intern position at AISafety requires a master's student or recent graduate with a background in electrical or computer engineering, focusing on RF signal detection and classification using neural networks. This full-time, on-site role emphasizes hands-on lab work and collaboration with Carnegie Mellon University
Job Summary
The role focuses on developing highly resilient RF communications in contested environments rather than general software process improvement.
Candidates will spend 70% of their time on the development and analysis of RF signal detection and classification techniques.
This is a full-time, fixed-term internship located on the CMU Pittsburgh campus requiring daily office presence.
Matching Summary
Match Score: 85
The RFCyber Lab Intern position at AISafety requires a master's student or recent graduate with a background in electrical or computer engineering, focusing on RF signal detection and classification using neural networks. This full-time, on-site role emphasizes hands-on lab work and collaboration with Carnegie Mellon University.
Salary
Pay Basis: Hourly; Base: Not specified; Benefits: Available (see employee benefits listing)
Skills & Requirements
Must-have
Temporal neural network design
Digital signal processing fundamentals
RF signal detection and classification
Spiking temporal neural network implementation
Strong programming ability
Nice-to-have
Engagement with CMU-NCA Lab
Experience in contested environments
Analytical skills for signal processing
Key Requirements
Enrolled in masters or post-graduate program
Bachelor's degree in electrical or computer engineering
Completed or enrolled in CMU 18-743 or equivalent
Eligible to work in US without visa sponsorship
Pass background check
Work Rights
Must be eligible to work in United States without Visa sponsorship