Carnegie Mellon University
Carnegie Mellon University
Posted 3 days ago
Internship
Pittsburgh, Pennsylvania
In Person
Smart Summary
Responsibilities
Develop and refine novel detection and classification techniques for RF signals across various architectures. Collect and prepare sample RF data and develop additional signal processing algorithms.
Qualifications
You are enrolled in a post-graduate program with a Bachelor's degree in electrical or computer engineering. You have a strong understanding of signal processing fundamentals and experience with artificial neural networks, particularly spiking temporal neural networks.
Must Have Skills for ATS
temporal neural network
digital signal processing
RF signal detection and classification
artificial neural networks
spiking temporal neural network
signal processing
Job Description
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.
Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PAJob Function
Non-CMU StudentsPosition Type
Intern (Fixed Term)Full Time/Part time
Full timePay Basis
HourlyMore 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.
Carnegie Mellon University
The Language Technologies Institute at the Carnegie Mellon University School of Computer Science educates the leaders of tomorrow and performs groundbreaking research in the areas of Natural Language Processing and Computational Linguistics; Information Extraction, Summarization & Question Answering; Information Retrieval, Text Mining & Analytics; Knowledge Representation, Reasoning & Acquisition; Language Technologies for Education; Machine Learning; Machine Translation; Multimodal Computing and Interaction; Speech Processing; and Spoken Interfaces & Dialogue Processing.
With Runway
See Your Fit for This Role
1-5 min
Your Score
?
Top Applicants
90%
Your Job Search Advantage
Key Gaps & Next Steps:
Address these in your resume & Interview
Top Strengths For This Role
Highlight these in your cover letter & interview
Your Interview Guide
A Personalized Interview Strategy
Freshest Opportunities
Never Miss a Good Fit
Get notified when jobs mach your criteria