RFCyber Lab Intern
Not Disclosed•InternOn-site
location_onLogan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
The Software Engineering Institute (SEI) serves as a national resource in software engineering, computer security, and process improvement. We work closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. While our core purpose is generally to help organizations develop defect-free software within budget and on time, the RFCyber Lab specifically focuses on a critical mission: creating highly resilient RF communications in contested environments.
As an RFCyber Lab Intern, you will join a team dedicated to advancing software engineering principles for national security. This role is designed for candidates with a background in electrical or computer engineering who possess knowledge of temporal neural network design and digital signal processing fundamentals. Your primary objective is to help develop and refine novel detection and classification techniques for RF signals across various architectures.
Your day-to-day work will be heavily focused on the development and analysis of RF signal detection and classification (70%), alongside the collection and preparation of sample RF data (20%). You will also contribute to the development of other signal processing algorithms and systems (10%). This is a full-time, on-site position requiring you to work 5 days a week in the lab at the CMU Pittsburgh campus.
Joining the CMU team opens the door to an array of exceptional benefits and a supportive environment. We value the whole package when extending offers of employment, evaluating not just credentials but also your valuable work experience, unique skills, and the perspective you bring. Your journey with us is about more than just a job; it is about finding the perfect fit for your professional growth and personal aspirations.
Benefits eligible employees enjoy comprehensive medical, prescription, dental, and vision insurance, along with a generous retirement savings program. Additional perks include tuition benefits, ample paid time off, a free Pittsburgh Regional Transit bus pass, access to a Family Concierge Team for childcare needs, and fitness center access.
Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. We are committed to fostering a diverse and inclusive community where everyone can thrive.
Work model: On-site
Logan Street, Downtown, Pittsburgh, Allegheny County, Pennsylvania, 15262, United States
Pittsburgh, Pennsylvania
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Skills: Temporal Neural Network Design, Digital Signal Processing, RF Signal Detection, RF Signal Classification, Signal Processing Fundamentals, Artificial Neural Networks Design, Artificial Neural Networks Implementation, Spiking Temporal Neural Network Implementation, Signal Processing Algorithms.
Education: Enrolled in a masters or other post-graduate program; Have a bachelors in electrical or computer engineering.