What are the responsibilities and job description for the RF Cyber Lab Intern position at Software Engineering Institute | Carnegie Mellon University?
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:
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:
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.
- Signal processing fundamentals
- Artificial neural networks design and implementation
- Spiking temporal neural network implementation
- Strong programming ability and analytical skills
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 Mellon” to 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