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Eeg Signal Processing Analysis Jobs (NOW HIRING)

Signal Processing Engineer

Arlington, VA · On-site

$87K - $157K/yr

... C++ - Analyze results from simulation or real data to identify root causes and trends - Develop ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

Signal Processing Engineer

Arlington, VA · On-site

$87K - $157K/yr

... C++ - Analyze results from simulation or real data to identify root causes and trends - Develop ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

... C++ - Analyze results from simulation or real data to identify root causes and trends - Develop ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

Design, develop, integrate, and test analytic signal processing software tools for DSP algorithms Design, develop, integrate, and test software for Machine Learning applications. Enhance and maintain ...

Development of analytic signal processing tools. Qualifications: Required: Bachelor's degree in relevant engineering disciplines (e.g Electrical Engineering, Computer Engineering) 5+ years of related ...

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Eeg Signal Processing Analysis information

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$17

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$54

How much do eeg signal processing analysis jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for eeg signal processing analysis in the United States is $34.48, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $40.38 per hour, depending on experience, location, and employer.

What is EEG signal processing analysis?

EEG signal processing analysis refers to the use of computational methods to interpret and extract meaningful information from electroencephalogram (EEG) data, which records electrical activity in the brain. This process typically involves filtering noise, identifying patterns, and analyzing brainwave frequencies to study brain function or detect abnormalities. EEG signal processing is widely used in neuroscience, clinical diagnostics, brain-computer interfaces, and cognitive research. Experts in this field use specialized software and algorithms to handle large sets of EEG data, making it possible to gain insights into brain health and activity.

What are the key skills and qualifications needed to thrive as an EEG signal processing analyst?

To thrive as an EEG Signal Processing Analyst, you need a strong background in neuroscience, biomedical engineering, or a related field, with expertise in signal processing and data analysis. Familiarity with technical tools such as MATLAB, Python, EEGLAB, and experience with EEG acquisition systems is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and present findings clearly. These skills and qualities are crucial for ensuring accurate analysis, supporting clinical or research objectives, and advancing understanding of brain activity.

What are some common challenges faced when analyzing EEG signals, and how can professionals overcome them?

One common challenge in EEG signal processing analysis is dealing with noise and artifacts, such as those caused by eye blinks, muscle movements, or external electrical interference. Professionals often use advanced filtering techniques and artifact removal algorithms to ensure clean data for accurate analysis. Additionally, interpreting the complex patterns in EEG data requires strong analytical skills and collaboration with clinical or research teams to contextualize findings. Staying updated on the latest software tools and methodologies is also key to overcoming these challenges and producing reliable results.

What is the difference between Eeg Signal Processing Analysis vs Eeg Data Technician?

AspectEeg Signal Processing AnalysisEeg Data Technician
CredentialsTypically requires a degree in neuroscience, biomedical engineering, or related fields; certifications in signal processing are commonUsually holds an associate or bachelor's degree; training in EEG equipment operation
Work EnvironmentResearch labs, hospitals, or clinics focusing on data analysis and interpretationClinical settings, hospitals, or sleep labs handling EEG data collection
Job FocusAnalyzing EEG signals, developing processing algorithms, interpreting dataRecording EEG signals, preparing data for analysis, maintaining equipment

In summary, Eeg Signal Processing Analysis professionals focus on analyzing and interpreting EEG data using specialized skills, while Eeg Data Technicians primarily handle data collection and equipment setup. Both roles are essential in the EEG workflow but differ in their core responsibilities and required expertise.

Is EEG signal processing analysis a good career?

EEG signal processing analysis is a specialized field within biomedical engineering and neuroscience, focusing on analyzing brain wave data for research or clinical purposes. It requires knowledge of signal processing, programming skills, and often a background in neuroscience or engineering; job prospects depend on industry demand and research funding. Overall, it can be a rewarding career for those interested in brain research and healthcare technology.

What other helpful pages are available for Eeg Signal Processing Analysis?

Other pages related to Eeg Signal Processing Analysis:

Infographic showing various Eeg Signal Processing Analysis job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $71,720 per year, or $34.5 per hour.

Senior Wireless Signal Processing Engineer

Laurel, MD • On-site

Johns Hopkins Applied Physics Laboratory (APL)
Manufacturing • 5 - 10K employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.


Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 75 rated research


Job description

Description

Do you have deep experience researching and developing advanced wireless communications and signal processing systems?

Are you passionate about using innovation and technology to solve technical challenges involving the defense of the US?

If so, we're looking for someone like you to join our team at APL.

We are seeking a Senior Wireless Signal Processing Engineer to help us give our nation a significant advantage in the electromagnetic spectrum. You will join a team of engineers developing advanced capabilities for the U.S. military and intelligence communities across tactical radio, cellular, satellite, IoT, and other wireless systems. You will apply advanced signal processing, software-defined radio, and wireless reverse engineering techniques to detect, characterize, understand, and exploit complex signals and systems.

As a Senior Wireless Signal Processing Engineer, you will...

  • Lead research and development of innovative signal processing solutions for challenging wireless communications problems, from initial concept and algorithm development through prototyping, experimentation, and operational test.
  • Develop techniques to detect, characterize, synchronize, demodulate, decode, and analyze known and unknown wireless signals using advanced digital signal processing and communications techniques.
  • Apply statistical signal processing, detection and estimation theory, and other advanced analytical techniques to extract information from complex and challenging RF environments.
  • Design and develop software-defined radio receivers, receiver algorithms, and signal analysis capabilities.
  • Develop software prototypes and analysis tools using Python, MATLAB, C/C++, or similar languages, and evaluate them using simulated, laboratory, recorded, and operational RF data.
  • Research and develop approaches for wireless signal characterization and reverse engineering, including modulation recognition, waveform analysis, and channel-code identification.
  • Provide technical leadership to multidisciplinary teams, mentor less-experienced staff, identify new technical opportunities, and communicate technical approaches and results to sponsors and the technical community.

Qualifications

You meet our minimum qualifications for the job if you...

  • Have at least a Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or another related technical field.
  • Have at least ten years of relevant experience in wireless communications, digital signal processing, communications systems engineering, or a related field.
  • Have deep theoretical and practical knowledge of digital communications and signal processing, with demonstrated expertise in several areas such as statistical signal processing, detection and estimation, receiver design, synchronization, modulation/demodulation, or channel coding.
  • Have hands-on experience developing and evaluating wireless receiver or signal-analysis algorithms, including experience with software-defined radios.
  • Have experience developing technical software using Python, MATLAB, C/C++, or similar languages.
  • Have demonstrated technical leadership, strong oral and written communication skills, and the ability to independently solve complex and open-ended technical problems.
  • Are able to obtain an Interim Top Secret level security clearance by your start date and can ultimately obtain a TS/SCI level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

  • Have at least a Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or another related technical field.
  • Have at least fifteen years of relevant experience in wireless communications, signal processing, SIGINT, or related research and development.
  • Have expertise in cyclostationary signal processing, advanced statistical signal processing, detection and estimation theory, or other techniques for detecting and characterizing challenging wireless signals.
  • Have experience with modulation recognition, blind signal characterization, waveform reverse engineering, channel coding, or channel-code identification and reverse engineering.
  • Have experience applying artificial intelligence or machine learning to wireless signal detection, classification, characterization, or reverse engineering, or developing automated or agentic workflows for complex signal-analysis problems.
  • Have a working history supporting Department of Defense and/or Intelligence Community organizations, sponsors, missions, or programs.
  • Hold an active TS/SCI clearance or higher.

#LI-AG1


About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.

The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.


Minimum Rate
$105,000 Annually
Maximum Rate
$290,000 Annually

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