What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time. The core purpose here isnt helping someone achieve software process nirvana though we want highly resilient RF communications in contested environments.
Position Summary: We seek an intern with knowledge of temporal neural network design as well as the fundamentals of digital signal processing to help develop and refine novel detection and classification techniques of RF signals across various architectures.
Requirements:
Enrolled in a masters or other post-graduate program
Have a bachelors in electrical or computer engineering
Previously taken or enrolled in CMU 18-743 or equivalent
Engagement with CMU-NCA Lab
Ability to work in a lab as needed on the CMU Pittsburgh campus
You will be subject to a background check and must be eligible to work in the United States without Visa sponsorship.
Knowledge, Skills and Abilities:
Signal processing fundamentals
Artificial neural networks design and implementation
Spiking temporal neural network implementation
Strong programming ability and analytical skills
Job Function Breakdown:
70% Development and analysis of RF signal detection and classification
20% Collection, preparation, collation of sample RF data for processing
10% Development of other signal processing algorithms and systems
TOTAL = 100%
Position in office 5 days a week.
Location
Pittsburgh, PA
Job Function
Non-CMU Students
Position Type
Intern (Fixed Term)
Full time/Part time
Full time
Pay Basis
Hourly
More Information:
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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