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Eeg Machine Learning Jobs (NOW HIRING)

Emory University

Post Doctoral Researcher

Atlanta, GA

$112K/yr

... EEG, EMG, kinematic) recordings in the clinic. These approaches are enhanced by advanced imaging ... Experience with human electrophysiology Experience with machine learning algorithms Apply by ...

Emory University

Post Doctoral Researcher

Atlanta, GA · On-site

$112K/yr

... neuroscience, machine learning, and clinical neural engineering to join a collaborative team ... EEG, EMG, kinematic) recordings in the clinic. These approaches are enhanced by advanced imaging ...

Emory University

Post Doctoral Researcher

Atlanta, GA · On-site

$112K/yr

... EEG, EMG, kinematic) recordings in the clinic. These approaches are enhanced by advanced imaging ... Experience with human electrophysiology Experience with machine learning algorithms Apply by ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... HD-EEG source analysis. • Machine learning classification / advanced regression analyses of electrophysiological data (LFP and EEG) • Experimental Control Programming, a plus: integration of ...

American Society for Experimental Neurotherapeutics

Experience conducting multimodal neuroimaging research utilizing MRI, MEG, EEG, or related ... Expertise in computational modeling, machine learning, predictive analytics, biomarker development ...

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Eeg Machine Learning information

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How much do eeg machine learning jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for eeg machine learning 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 machine learning?

EEG machine learning refers to the application of machine learning algorithms to analyze and interpret electroencephalogram (EEG) data. EEG measures electrical activity in the brain, and machine learning techniques can help detect patterns, classify brain states, and even predict neurological conditions. This approach is widely used in research, healthcare, and brain-computer interface development to improve diagnostics and understand brain function. Machine learning enhances the accuracy and efficiency of EEG data analysis compared to traditional methods.

What are the key skills and qualifications needed to thrive as an EEG machine learning specialist?

To thrive as an EEG Machine Learning Specialist, you need a strong background in neuroscience or biomedical engineering, expertise in signal processing, and advanced knowledge of machine learning algorithms. Proficiency in tools like Python, MATLAB, TensorFlow, and experience with EEG data acquisition systems are typically required. Critical thinking, attention to detail, and effective communication skills help in interpreting complex brainwave data and collaborating with multidisciplinary teams. These competencies are crucial for developing accurate models that advance neurotechnology and clinical diagnostics.

How do EEG machine learning specialists typically collaborate with neuroscientists and clinicians during a project?

EEG Machine Learning specialists often work closely with neuroscientists to design experiments and interpret neural data, ensuring that machine learning models are aligned with research goals. Collaboration with clinicians is also common, especially when developing diagnostic tools or analyzing patient data, as their input helps validate findings and meet clinical requirements. Regular interdisciplinary meetings and clear communication are key to overcoming challenges related to data quality, labeling, and the translation of results into practical applications.

What is the difference between Eeg Machine Learning vs Eeg Data Analyst?

AspectEeg Machine LearningEeg Data Analyst
Required CredentialsBackground in machine learning, data science, or computer science; often requires programming skillsBackground in data analysis, statistics, or neuroscience; may require knowledge of EEG data processing
Work EnvironmentResearch labs, tech companies, healthcare startups focusing on AI and machine learning applicationsHospitals, research institutions, healthcare organizations analyzing EEG data for diagnostics
Industry UsageDeveloping algorithms for EEG data interpretation, predictive modeling, and automationAnalyzing EEG data to identify patterns, generate reports, and support clinical decisions

While both roles work with EEG data, Eeg Machine Learning focuses on developing algorithms and models using programming and machine learning techniques. Eeg Data Analysts primarily interpret and analyze EEG data to support clinical or research outcomes. The roles overlap in data handling but differ in technical focus and application.

What other helpful pages are available for Eeg Machine Learning?

Other pages related to Eeg Machine Learning:

Infographic showing various Eeg Machine Learning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $71,720 per year, or $34.5 per hour.

Post Doctoral Researcher

Atlanta, GA

Emory University
Hospitals • 10K+ employees
Learn more about Emory Universityexternal

$112K/yr

Full-time

Posted 12 days ago

Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 220 frontline employees who took The Breakroom Quiz

163rd of 898 rated healthcare providers

Job description

Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.


Postdoctoral research fellow - Human movement disorders electrophysiology and neural engineering

We are seeking a postdoctoral researcher at the intersection of neuroscience, machine learning, and clinical neural engineering to join a collaborative team developing the next generation of intelligent deep brain stimulation (DBS) systems for movement disorders.

Dr. Miocinovic is a movement disorders neurologist and a biomedical engineer with expertise in translational and clinical electrophysiology. Her laboratory at Emory University focuses on brain circuits involved in motor and cognitive behaviors in Parkinson’s disease and other movement disorders. We investigate how to treat these disorders by modulating neural activity, primarily with DBS, and work on developing next-generation neuromodulation approaches. The methods used in the lab include intracranial recordings during DBS surgeries and non-invasive (EEG, EMG, kinematic) recordings in the clinic. These approaches are enhanced by advanced imaging techniques, biophysical computational modeling, quantitative symptom monitoring, behavioral tasks, and machine learning.

A postdoctoral fellow would spearhead a project to develop automated DBS programming platform using electrophysiologic signals recorded in the operating room and tested in the clinic and at home. The project is a close collaboration with Dr. Matthew Gombolay at Georgia Tech’s School of Computing, and involves real-time deployment of machine learning algorithms.

This is an excellent opportunity for those interested in translational neural engineering. We offer cutting-edge scientific projects, attentive mentoring and multi-disciplinary collaborations in a world-class research environment at Emory University and Georgia Institute of Technology.

Additional information at Miocinovic Lab website: movement.bme.gatech.edu

The position is available immediately

QUALIFICATIONS:
Required:
PhD in Neuroscience, Biomedical Engineering, Neural Engineering or related disciplines
Experience with neurophysiological studies
Advanced quantitative signal processing skills (including expertise in Matlab or Python)
Strong scientific writing ability and oral communication skills
Ability to spearhead complex experiments in clinical environments in close collaboration with neurologists and neurosurgeons
Record of first-author publications in peer-reviewed journals

Preferred:
Experience with human electrophysiology
Experience with machine learning algorithms

Apply by sending the following to Dr. Miocinovic (svjetlana.miocinovic@emory.edu)
Current CV including all publications
Cover letter describing interest and relevant experience for the project
Three reference contacts

NOTE: Position tasks are generally required to be performed in-person at an Emory University location.  Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee.


Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

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