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Neural Signal Processing Jobs in Pennsylvania (NOW HIRING)

Cmu

RF Cyber Lab Intern

Pittsburgh, PA

$14.50 - $19.50/hr

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 ...

Carnegie Mellon University

RF Cyber Lab Intern

Pittsburgh, PA · On-site

$14.50 - $19.50/hr

Signal processing fundamentals * Artificial neural networks design and implementation * Spiking temporal neural network implementation * Strong programming ability and analytical skills Job Function ...

Carnegie Mellon University

RF Cyber Lab Intern

Pittsburgh, PA · On-site

$14.50 - $19.50/hr

Signal processing fundamentals * Artificial neural networks design and implementation * Spiking temporal neural network implementation * Strong programming ability and analytical skills Job Function ...

Carnegie Mellon University

RF Cyber Lab Intern

Pittsburgh, PA · On-site

$14 - $18.75/hr

Signal processing fundamentals * Artificial neural networks design and implementation * Spiking temporal neural network implementation * Strong programming ability and analytical skills Job Function ...

All JobsNeural Signal Processing JobsNeural Signal Processing Jobs in Pennsylvania

Neural Signal Processing information

What is the difference between Neural Signal Processing vs Neural Data Analyst?

AspectNeural Signal ProcessingNeural Data Analyst
Required CredentialsBackground in neuroscience, signal processing, programming (Python, MATLAB)Statistics, data analysis, programming (Python, R)
Work EnvironmentResearch labs, healthcare, neurotechnology companiesData-focused roles in research institutions, healthcare, biotech
Industry UsageDesigning algorithms for neural signals, signal decodingAnalyzing neural data sets, interpreting results

Neural Signal Processing involves developing algorithms to analyze and interpret neural signals, often requiring expertise in signal processing and neuroscience. Neural Data Analysts focus on examining neural data sets to extract insights, emphasizing statistical analysis and data interpretation. While both roles work with neural data, Neural Signal Processing is more technical and algorithm-driven, whereas Neural Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in neural signal processing roles, and how can they be addressed?

Professionals in neural signal processing often face challenges such as managing noisy or artifact-laden data, ensuring real-time processing capabilities, and integrating signals from multiple modalities (e.g., EEG, fMRI). Addressing these challenges typically involves staying updated on advanced filtering techniques, collaborating closely with neuroscientists and engineers, and leveraging robust software tools for data analysis. Continuous learning and teamwork are essential, as projects often require interdisciplinary cooperation and adaptation to evolving research protocols.

What are the key skills and qualifications needed to thrive as a Neural Signal Processing specialist, and why are they important?

To thrive in Neural Signal Processing, you need a solid background in neuroscience, signal processing, and programming, often supported by an advanced degree in biomedical engineering, neuroscience, or related fields. Familiarity with tools like MATLAB, Python, EEG/MEG analysis software, and machine learning frameworks is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, advancement of brain-computer interfaces, and successful contributions to neuroscience research.

What is neural signal processing?

Neural signal processing is the analysis and interpretation of electrical signals generated by neurons in the brain or nervous system. This field combines neuroscience, engineering, and computer science to develop methods and algorithms that can decode, filter, and make sense of complex neural data. Applications include brain-computer interfaces, medical diagnostics, and research into how the brain functions. Neural signal processing is critical for advancing our understanding of neural circuits and developing new treatments for neurological disorders.
What are popular job titles related to Neural Signal Processing jobs in Pennsylvania? For Neural Signal Processing jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Neural Signal Processing jobs in Pennsylvania look for? The top searched job categories for Neural Signal Processing jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Neural Signal Processing jobs? Cities in Pennsylvania with the most Neural Signal Processing job openings:
Neural Signal Processing jobs near you
Infographic showing various Neural Signal Processing job openings in Pennsylvania as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
RF Cyber Lab Intern

RF Cyber Lab Intern

Software Engineering Institute

Pittsburgh, PA • On-site

$14 - $18.75/hr

Other

Posted 16 days ago

Job description

Internship Opportunity

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

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