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.