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Internship Brain Machine Interface Jobs in Worcester, MA

RTX

Mechanical Engineer I

Marlborough, MA · On-site

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Able to work and interface with a cross-discipline team What We Offer : * Our values drive our ...

RTX

Mechanical Engineer I

Marlborough, MA · On-site

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Able to work and interface with a cross-discipline team What We Offer : * Our values drive our ...

All JobsBrain Machine Interface JobsInternship Brain Machine Interface JobsInternship Brain Machine Interface Jobs in Worcester, MA

Internship Brain Machine Interface information

See Worcester, MA salary details

$25.4K

$42.5K

$87.8K

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

As of Aug 7, 2026, the average yearly pay for internship brain machine interface in Worcester, MA is $42,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,400.00 and $45,900.00 per year, depending on experience, location, and employer.

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 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 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 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 Worcester, MA? For Internship Brain Machine Interface jobs in Worcester, MA, the most frequently searched job titles are:
What job categories do people searching Internship Brain Machine Interface jobs in Worcester, MA look for? The top searched job categories for Internship Brain Machine Interface jobs in Worcester, MA are:
What cities near Worcester, MA are hiring for Internship Brain Machine Interface jobs? Cities near Worcester, MA 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 Worcester, MA as of August 2026, with employment types broken down into 81% Full Time, 13% Part Time, 4% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,491 per year, or $20.4 per hour.

Electro-Mechanical Systems Engineer Co-op - Fall 2026

Methods Machine

Sudbury, MA • On-site

$21/hr

Full-time

Re-posted yesterday

Job description

Job Type
Internship
Description
Methods Machine Tools, Inc. supplies high-quality, high-precision machine tools and automation solutions, and designs integrated custom machining processes and systems. Headquartered in Sudbury, Mass., and in operation since 1958, Methods provides an end-to-end portfolio of best-in-class products, engineering, service, parts, training, and integration. Methods has more than 300 employees, seven technology centers, one high precision machining center, and has installed in excess of 45,000 machines throughout North America.
We currently have the following career opportunity available in Sudbury, MA:
Electro-Mechanical Systems Engineer Co-op (Fall 2026)
This position will be responsible for developing processes, assembly instructions, and work instructions for the integration of value-added options (chip management systems, high-pressure coolant systems, work holding tables, mist collection units, etc.) and associated equipment on a variety of CNC machine tool platforms. Facilitate installation of new options with Production team and document. Daily responsibilities will require close coordination and collaboration with team members from Production and the Applications Engineering department to develop processes and work instructions to install equipment effectively and in a repeatable manner. This position may be required to occasionally work outside of their normal work schedule.
Responsibilities:
  • Consistently follow and reinforce all safety and work procedures and immediately notify management of any safety or product/process quality issues.
  • Develop procedures, assembly guides, and work instructions for the efficient and reliable set-up and installation of CNC machine tool platforms and associated options and kits.
    • The focus of this position is for electro-mechanical and controls systems including documentation of physical installation and integration of mechanical interfaces, hydraulics, and pneumatics as well as electronic control devices, wiring harnesses, connectors, and robotics/automation interfaces.
    • Take complex and often specialized information and adapting it into a format that is easy to understand; Processes and work instructions must be effective for both factory and field installation.
  • Perform installations, identify installation hurdles, and work with Production, Service, and Applications Engineering to develop solutions.
  • Drive Lean Six Sigma philosophies across Production including:
    • Develop Standard Work for each machine platform and associated options
    • Conduct time studies
    • 5S principles in support of an efficient, clean, and safe work area
    • Leverage Poke Yoke and Visual Management to reduce defects and errors
  • Create or update detailed drawings of options and designed components using Solid Works CAD software.
  • Promote and support ISO 9001:2015 certification across the organization:
    • Conduct internal audits to verify that process are working and identify opportunities for improvement
    • Lead continual improvement projects to enhance product quality/process efficiency.
    • Collect and analyze process data and present data in a meaningful way. Propose and track Key Performance Indicators (KPIs).
  • Perform other appropriate tasks and duties as assigned.

Methods Machine is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Salary Description
$21 per hour

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