RFCyber Lab Intern

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Software Engineering Institute | Carnegie Mellon University

Posted 2 months ago

Internship

Pittsburgh, Pennsylvania

In Person

Smart Summary

Responsibilities

The intern will develop and refine novel detection and classification techniques for RF signals across various architectures. They will also be responsible for the collection, preparation, and collation of sample RF data for processing.

Qualifications

You have a Master's or post-graduate program enrollment and a Bachelor's degree in electrical or computer engineering. You are familiar with temporal neural network design and digital signal processing fundamentals, ideally with experience in spiking temporal neural networks and relevant coursework.

Must Have Skills for ATS

temporal neural network design

digital signal processing

Spiking temporal neural network implementation

Python

MATLAB

Job Description

RFCyber Lab Intern

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 isn’t 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: 

  • Please visit Why Carnegie Mellonto learn more about becoming part of an institution inspiring innovations that change the world. 

  • Click here to view a listing of employee benefits

  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran

  • Statement of Assurance

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Software Engineering Institute | Carnegie Mellon University

At the SEI, we research complex software engineering, cybersecurity, and AI engineering problems; create and test innovative technologies; and transition maturing solutions into practice. We have been working with the Department of Defense, government agencies, and private industry since 1984 to help meet mission goals and gain strategic advantage.
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