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Eeg Signal Processing Analysis Jobs (NOW HIRING)

Signal Processing Engineer

Austin, TX · On-site

$121K - $230K/yr

Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and ... Fluent in signal processing fundamentals (both analog and digital) and strong numerical ...

Signal Processing Engineer Join a rapidly growing engineering team supporting a high-priority Navy ... Analyze and profile system performance, identifying bottlenecks and implementing optimizations in ...

Signal Processing Engineer Location: Belmont, CA (hybrid) Employees : Industry : Wireless services ... Continuously analyze and improve existing location estimation methodologies, adapting them to meet ...

... computational analytics (algorithm acceleration and machine learning), and weapon system ... Digital signal processing (DSP); * Programming (MatLab, Python, C, or similar); * Active Secret ...

Collaborate with geospatial imagery analysts and/or UxV operators to understand and automate data ... None If filled as Research and Development Engineer - Signal Processing (ARL) - Professional, this ...

Signal Processing Engineer

San Diego, CA · On-site

$85K - $153K/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

San Diego, CA · 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 ...

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Eeg Signal Processing Analysis information

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

As of Sep 10, 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.

Signal Processing Engineer

University Park, PA • On-site

Penn State University
Colleges, Universities, and Professional Schools • 51 - 200 employees

$121K - $231K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

236th of 633 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
We are searching for a motivated and talented Signal Processing Research and Development Engineer to join the Acoustic Data Science Department at the Applied Research Laboratory (ARL) at Penn State. The primary focuses of this role are in the areas of acoustics, signal processing, algorithm development, modeling, data analysis, and software engineering with an interest in undersea systems. You will join a team of scientists and engineers working to develop next generation sonar systems and sonar signal processing algorithms for a range of Navy applications.
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
  • Develop modeling and simulation of sonar systems and analysis of sonar data collected by fielded sensors systems
  • Make comparisons between the measured data and sonar models, implementation of computer algorithms to extract information from the recorded data, and generation of reports and presentations to document findings
  • Work on real-time/high-performance implementation of the developed algorithms and/or models

Additional responsibilities for higher level position includes:
  • May serve as a technical leader on multiple sonar projects
  • Provide technical leadership within the division for programs
  • Make substantial contributions to determining feasibility of goals/objectives of moderate to large size and scope projects
  • May supervise lower-level employees and students in the group

Required skills/experience areas include:
  • Signal Processing
  • MATLAB
  • Algorithm Development
  • Ability to work well as part of a team
  • Current eligibility for access to classified information at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required

Preferred skills/experience areas include:
  • Python, C++, CUDA, time-series analysis, and signal processing
  • Ability to express yourself and ideas successfully to others in order to provide understanding
  • Success in an office environment, where various forms of communication and organizational skills were crucial to be effective

Your working location will be fully on-site, located in State College, PA. Questions related to flexible work should be directed to the hiring manager during the interview process. This position will require periodic travel to remote locations in support of testing as part of a small team of researchers, engineers, and technologists.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as Research and Development Engineer - Signal Processing (ARL) - Senior Professional, this position requires:Bachelor's Degree - Engineering or Science14+ years of relevant experienceRequired Certifications:NoneIf filled as Research and Development Engineer - Signal Processing (ARL) - Advanced Professional, this position requires:Bachelor's Degree - Engineering or Science5+ years of relevant experienceRequired Certifications:None
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).
FOR FURTHER INFORMATION on ARL, visit our web site at www.arl.psu.edu.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Notice regarding employment at the Applied Research Laboratory (ARL):Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $121,704.00 - $231,000.00.
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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