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Eeg Neural Signal Processing Jobs (NOW HIRING)

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

This role offers hands-on experience with state-of-the-art neural decoding technology while working ... Knowledge of signal processing for data preprocessing and analysis * Familiarity with EEG or other ...

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 - $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 ...

Prime Healthcare

EEG Technician

Kansas City, MO · On-site

... process, taking medical history, and ensuring comfort * Apply electrodes using the 10-20 system and monitor equipment for accurate signal capture * Conduct EEG recordings including routine, sleep ...

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Eeg Neural Signal Processing information

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$17

$34

$54

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

As of Jun 8, 2026, the average hourly pay for eeg neural signal processing 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 are some common challenges faced when processing EEG neural signals, and how can professionals address them in their daily work?

One of the main challenges in EEG neural signal processing is dealing with noise and artifacts, such as those caused by eye movements or muscle activity, which can obscure the true neural signals. Professionals often use specialized filtering techniques and artifact rejection algorithms to clean the data before analysis. Additionally, interpreting the complex and high-dimensional EEG data requires a solid understanding of both neuroscience and advanced signal processing methods. Collaborating closely with neuroscientists, clinicians, and software engineers is crucial for refining analysis pipelines and ensuring meaningful results.

What is EEG neural signal processing?

EEG neural signal processing refers to the analysis and interpretation of electrical activity in the brain as recorded by electroencephalography (EEG). This process involves filtering, amplifying, and extracting meaningful features from the raw EEG signals to study brain function, diagnose neurological disorders, or develop brain-computer interfaces. Researchers and clinicians use various computational techniques to separate noise from actual brain signals, enabling a better understanding of brain activity and aiding in medical or research applications.

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

To thrive as an EEG Neural Signal Processing specialist, you need a solid background in neuroscience, signal processing, and programming, typically supported by a degree in biomedical engineering, neuroscience, or related fields. Familiarity with technical tools such as MATLAB, Python, EEGLAB, and experience with EEG acquisition systems are essential. Strong analytical thinking, problem-solving skills, and clear communication help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for accurately analyzing neural signals, advancing research, and ensuring reliable outcomes in clinical or research settings.

What is the difference between Eeg Neural Signal Processing vs Neurophysiologist?

AspectEeg Neural Signal ProcessingNeurophysiologist
Required CredentialsTypically requires a degree in neuroscience, biomedical engineering, or related fields; certifications in signal processing are a plusRequires advanced degrees (PhD or MD), specialized training in neurophysiology, and often board certification
Work EnvironmentResearch labs, hospitals, or tech companies focusing on brain signal analysisHospitals, clinics, research institutions conducting neurological assessments
Industry UsagePrimarily in research, medical device development, and data analysisClinical diagnosis, patient care, and neurological research

While Eeg Neural Signal Processing focuses on analyzing brain signals using signal processing techniques, Neurophysiologists perform clinical assessments and interpret neurological data. Both roles require a strong background in neuroscience, but neurophysiologists typically have more clinical responsibilities and advanced medical credentials.

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What cities are hiring for Eeg Neural Signal Processing jobs? Cities with the most Eeg Neural Signal Processing job openings:
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Eeg Neural Signal Processing jobs near you
Infographic showing various Eeg Neural Signal Processing job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $71,720 per year, or $34.5 per hour.
Postdoctoral Research Associate

Postdoctoral Research Associate

University of Texas at Dallas

Richardson, TX • On-site

$67K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

University Of Texas At Dallas rating

6.3

Company rating: 6.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

451st of 534 rated colleges and universities

Job description

Posting Details
Posting Details
Posting Number
S07053P
Position Title
Postdoctoral Research Associate
Functional Title
Department
Speech Language Hearing
Salary Range
$67,200, DOQ
Pay Basis
Monthly
Position Status
Regular full-time
Location
Dallas
Position End Date (if temporary)
Posting Open Date
05/20/2026
Posting Close Date
Open Until Filled
No
Desired Start Date
07/13/2026
Job Summary
The Integrative Laryngeal BioPhysiology Lab (UT Larynx Lab) is seeking a highly motivated Postdoctoral Research Fellow with expertise in biomedical engineering, signal processing, and big data analysis. This position offers a unique opportunity to contribute to active NIH-funded research programs focused on the use of motion capture technology to investigate perilaryngeal-respiratory kinematic patterns and coordinative relationships in individuals with and without functional voice disorders, including primary muscle tension dysphonia.
Additionally, the role involves advanced research using high-density surface electromyography (HD-sEMG) and electroencephalography (EEG) to examine perilaryngeal motor unit neural control and corticomuscular integration in hyperfunctional voice disorders. The lab operates within a collaborative environment spanning The University of Texas at Dallas and UT Southwestern Medical Center.
The salary for Post-Doctoral Research Associates in BBS is determined by years of experience per the current NIH (NRSA) stipend levels. Salary will be dependent on experience and qualifications. This appointment is for 1 year with the possibility of renewal. Continued employment is contingent on availability of funds and satisfactory performance.
Minimum Education and Experience
Ph.D in a related field.
Candidates who have successfully completed all requirements for the Ph.D. but whose degree has not yet been formally conferred may be eligible to begin employment provided they submit an official letter from the Registrar or Graduate School of the degree-granting institution certifying that all doctoral requirements have been satisfied and specifying the expected date of conferral. Appointment and continued employment are contingent upon formal conferral of the Ph.D.
Preferred Education and Experience
Preferred Education and Experience
  • Ph.D. in Biomedical Engineering, or a related field.
  • Familiarity with grant writing and securing research funding.

Other Qualifications
To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.
Essential Duties and Responsibilities
Duties & Responsibilities:
  • Design and conduct experiments related to laryngeal muscle biophysiology, vocal subsystem biomechanics, and sensorimotor voice disorders, with a focus on perilaryngeal-respiratory kinematic patterns and coordinative relationships in individuals with and without functional voice disorders (primary muscle tension dysphonia).
  • Lead participant recruitment, data acquisition, processing, analysis, and interpretation for the motion capture R01, and develop novel motion capture techniques and analytical approaches relevant to perilaryngeal-respiratory kinematics and sensorimotor voice disorders.
  • Run participants through the HD-sEMG-EEG protocol and acquire, process, and analyze high-density surface electromyography (HD-sEMG) and electroencephalography (EEG) data, including motor unit decomposition and corticomuscular coherence analyses to characterize perilaryngeal motor control and central-peripheral neural mechanisms in hyperfunctional voice disorders.
  • Applying cutting edge analysis techniques to motion capture kinematic datasets, including the development of novel pipelines for identifying perilaryngeal-respiratory coordinative patterns and biomarkers of vocal hyperfunction.
  • Lead the preparation of manuscripts, abstracts, and presentations for peer-reviewed journals and national conferences.
  • Collaborate with multidisciplinary teams, including clinicians and researchers, to advance the understanding of voice disorders.
  • Mentor graduate and undergraduate students involved in related research projects.

Essential Knowledge, Skills & Abilities
  • Experience with programming languages commonly used in big data and machine learning workflows (e.g., Python, MATLAB, R) and familiarity with deep learning frameworks and/or dimensionality reduction methods.
  • Proficiency in big data analysis techniques and experience applying machine learning methods to physiological or biomechanical datasets.
  • Experience with motion capture, HD-sEMG, and/or EEG data acquisition and analysis highly desirable
  • Familiarity with motor unit decomposition algorithms, corticomuscular coherence analysis, and/or related neurophysiological signal processing approaches relevant to HD-sEMG, EEG, or other high density time series data preferred.
  • Proven track record of scholarly publications and presentations.
  • Excellent written and verbal communication skills.
  • Ability to work both independently and collaboratively within a research team.

Physical Demands and Working Conditions
Physical Activities
Working Conditions
Additional Information
Work Notice
Work will be performed on-site and in person.
Travel:
This position may be subject to local travel for assessment, data collection, participant recruitment or participant needs. Other occasional travel may occur such as for training/development, conferences, etc.
What We Can Offer
UT Dallas is an Equal Opportunity Employer with an employee-friendly and supportive work environment. Our comprehensive compensation and benefits package that is effective as of your hire date includes:
  • Competitive Salary
  • Tuition Benefits
  • BCBS PPO Medical Insurance Options - including 100% paid employee medical coverage for full-time employees
  • AD&D Insurance
  • Dental & Vision Plan Options
  • Long and short-term disability
  • TRS Retirement Plan
  • Fertility Benefits
  • Paid time off

All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program.
Visit https://hr.utdallas.edu/employees/benefits/ for more information.
Special Instructions Summary
Important Message
1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.

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