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Internship Brain Machine Interface Jobs in Fresno, CA

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Internship Brain Machine Interface information

See Fresno, CA salary details

$25.3K

$42.3K

$87.4K

How much do internship brain machine interface jobs pay per year?

As of Aug 24, 2026, the average yearly pay for internship brain machine interface in Fresno, CA is $42,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,300.00 and $45,700.00 per year, depending on experience, location, and employer.

What is an internship brain machine interface?

Internship Brain Machine Interface positions are short-term roles typically offered to students or recent graduates to gain hands-on experience working with brain-machine interface (BMI) technologies. These internships involve assisting with research, development, and testing of systems that connect the human brain to external devices, often in fields like neuroscience, biomedical engineering, or computer science. Interns may work on tasks such as data analysis, programming, hardware development, or conducting experiments under the supervision of experienced professionals. The goal is to provide practical exposure and skill development in cutting-edge neurotechnology.

What are the key skills and qualifications needed to thrive as an internship brain machine interface?

To thrive in a Brain Machine Interface internship, you typically need a background in neuroscience, biomedical engineering, computer science, or a related field, with coursework or experience in signal processing and neural data analysis. Familiarity with programming languages like Python or MATLAB, as well as experience with neural recording systems and data acquisition tools, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and contribute meaningfully to research teams. These skills enable interns to support innovative projects at the intersection of neuroscience and technology, ensuring they can learn quickly and add value to complex research environments.

What types of projects or tasks can I expect to work on during a brain machine interface internship?

As a Brain Machine Interface (BMI) intern, you'll typically assist with experimental design, data collection, and analysis involving neurophysiological signals, such as EEG or intracortical recordings. You may help develop or test algorithms for signal processing and decoding brain activity, or support the integration of hardware and software systems. Collaboration with neuroscientists, engineers, and software developers is common, so you’ll gain exposure to both research and technical development environments. Interns often have the opportunity to contribute to ongoing research publications or product development, which can be valuable experience for future roles.

What is the difference between Internship Brain Machine Interface vs Research Assistant in Brain-Computer Interface?

AspectInternship Brain Machine InterfaceResearch Assistant in Brain-Computer Interface
Required CredentialsEnrolled in relevant undergraduate or graduate programGraduate degree or ongoing research experience in neuroscience or engineering
Work EnvironmentInternship setting, often in labs or tech companiesAcademic or research institution labs
Employer & Industry UsageTech companies, startups, research labsUniversities, research institutes, industry R&D
Common Search & Comparison IntentUnderstanding internship roles in BMIResearch roles in brain-computer interfaces

While both roles involve working with brain-machine interface technology, an Internship Brain Machine Interface typically targets students gaining initial industry experience, whereas a Research Assistant in Brain-Computer Interface usually involves more advanced research responsibilities within academic or research institutions.

What are popular job titles related to Internship Brain Machine Interface jobs in Fresno, CA?

For Internship Brain Machine Interface jobs in Fresno, CA, the most frequently searched job titles are:

What job categories do people searching Internship Brain Machine Interface jobs in Fresno, CA look for?

The top searched job categories for Internship Brain Machine Interface jobs in Fresno, CA are:

What cities near Fresno, CA are hiring for Internship Brain Machine Interface jobs?

Cities near Fresno, CA with the most Internship Brain Machine Interface job openings:

Internship Brain Machine Interface jobs near you
Infographic showing various Internship Brain Machine Interface job openings in Fresno, CA as of June 2026, with employment types broken down into 4% Internship, 1% As Needed, 63% Full Time, 24% Part Time, 3% Contract, and 5% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $42,282 per year, or $20.3 per hour.

Electrical Systems Technology Instructor (Part-Time Faculty Pool) Fresno City College

Fresno, CA • On-site

State Center Community College District
Education • 1 - 5K employees

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 622 rated colleges and universities

Great coworkers

People enjoy working here

Good employer

Learn more about State Center Community College Districtexternal

$45.49 - $61.78/hr

Full-time, Part-time

Re-posted 3 days ago

Job description

Posting Details
Announcement Information
Posting Number
Title
Electrical Systems Technology Instructor (Part-Time Faculty Pool) Fresno City College
Campus Location
Fresno City College
Start Date
Essential Functions of Position
The ideal candidate will share Fresno City College's commitment to educating its racially and socioeconomically diverse student population. We currently enroll over 22,000 students of which 56% are Latinx, 10% are Asian/Pacific Islander, 5% are African American, 22% are White, and 6% are multiracial. FCC is a Hispanic-Serving Institution, reflecting the great responsibility that the College has to the educational attainment and economic well-being of the surrounding community. The successful candidate will join a department dedicated to the use of curriculum responsive to the student it serves.
Providing instruction in Electrical Systems Technology, on the Fresno City College campus and/or at off-site community campus locations, the instructor will be responsible for:
  • Assisting in recruiting and advising students;
  • Working with local manufacturing companies in the development and placement of on-the-job student internships;
  • Participating in departmental co-curricular activities such as clubs and related events;
  • Performing duties related to categorical funding that include dual enrollment objectives;
  • Attending regional and state level professional development conferences and meetings regarding dual enrollment or student success;
  • Assisting in the advancement of the institutional mission and goals;
  • Performing related duties as assigned;
  • Duties may include assignments in a variety of instructional settings and times, including evening and/or weekends, on-line or off-campus, and large group instruction classes as needed; and
  • Otherwise fulfilling the duties and responsibilities of instructors as required by Administrative Regulation 7122.

Minimum Qualifications
  • A bachelor's degree AND two years of directly related professional experience;
    OR
  • An associate degree AND six years of directly related professional experience;
    OR
  • A valid California Community College credential;
    OR
  • The equivalent education and/or experience (requires an equivalency).

All candidates must have evidence of responsiveness to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds of community college students, as these factors relate to the need of equity-minded practices within the classroom.
Desirable Qualifications
Related knowledge, work, and professional experience applicable to the following fields:
  • Fundamentals of electronics/electrical circuits,
  • Computer networking hardware,
  • CCNA certification,
  • NFPA/NEC,
  • Analog/digital communications,
  • Building automation (door access, CCTV, HVAC, lighting, etc.)
  • Biomedical equipment,
  • PLCs, VFDs, SCADA, HMI (programmable logic controllers), SCADA (supervisory control and data acquisition), HMI (human-machine interface),
  • Industrial instrumentation and motor controls,
  • Industrial robotics,
  • Voice and data cabling, and
  • Photovoltaics.
  • Experience working with students of various backgrounds;
  • Ability to communicate effectively with students and staff;
  • Recent experience working with African American, Latinx, Native American, and other racially minoritized students in the classroom and an understanding of how historical patterns of exclusions of these groups in higher education shape patterns of participation and outcomes;
  • Willingness to examine and re-mediate one's instructional, relational, and classroom practices to more effectively engage and support racially minoritized students;
  • Experience and skill with addressing issues of equity in the classroom;
  • Potential for contribution to institutional vitality and growth; and
  • Knowledge of the community college and its missions and goals.

Salary and Benefits
Starting rates are $45.49 - $61.78 for lecture and $38.67 - $52.55 for lab Sick leave accrual is based on assignment hours.
Selection Procedure
The selection and hiring process will be explained by the hiring department if the candidate is extended an opportunity to interview.
Additional Information
Additional Information about the Position
Open Date
Close Date
Closing Time
Open Until Filled
No
Quick Link
https://scccd.peopleadmin.com/postings/1903

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