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Internship Brain Machine Interface Jobs in Detroit, MI

Job Summary We are seeking a post-doctoral fellow to conduct research on novel brain machine interface technology. The role involves comprehensive testing of chronically implanted carbon fiber ...

Controls Engineer

Shelby Township, MI

$76K - $98K/yr

Works with the product interface to the assembly plant and other levels within the organization for ... machine build, is strongly preferred (internship experience is acceptable) WHAT'S IN IT FOR YOU?

Controls Engineer

Shelby Township, MI

$76K - $98K/yr

Works with the product interface to the assembly plant and other levels within the organization for ... machine build, is strongly preferred (internship experience is acceptable) WHAT'S IN IT FOR YOU?

Controls Engineer

Shelby Township, MI · On-site

$76K - $98K/yr

Works with the product interface to the assembly plant and other levels within the organization for ... machine build, is strongly preferred (internship experience is acceptable) WHAT'S IN IT FOR YOU?

Controls Engineer

Shelby, MI · On-site

$76K - $98K/yr

Works with the product interface to the assembly plant and other levels within the organization for ... machine build, is strongly preferred (internship experience is acceptable) WHAT'S IN IT FOR YOU?

Controls Engineer

Utica, MI · On-site

$70 - $90/hr

Works with the product interface to the assembly plant and other levels within the organization for ... machine build, is strongly preferred (internship experience is acceptable) WHAT'S IN IT FOR YOU?

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Internship Brain Machine Interface information

See Detroit, MI salary details

$25.2K

$42.2K

$87.1K

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

As of Aug 28, 2026, the average yearly pay for internship brain machine interface in Detroit, MI is $42,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 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 the most commonly searched types of Brain Machine Interface jobs in Detroit, MI?

The most popular types of Brain Machine Interface jobs in Detroit, MI are:

What are popular job titles related to Internship Brain Machine Interface jobs in Detroit, MI?

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

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

The top searched job categories for Internship Brain Machine Interface jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Internship Brain Machine Interface jobs?

Cities near Detroit, MI with the most Internship Brain Machine Interface job openings:

Infographic showing various Internship Brain Machine Interface job openings in Detroit, MI as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,156 per year, or $20.3 per hour.

Full-time

Medical, Dental, Vision, Retirement

Re-posted 29 days ago


University Of Michigan rating

8.0

Company rating: 8.0 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 625 rated colleges and universities


Job description

How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest in the position and outline skills and experience that directly relate to this position.
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job Summary
We are seeking a post-doctoral fellow to conduct research on novel brain machine interface technology. The role involves comprehensive testing of chronically implanted carbon fiber electrode arrays in neural recording and stimulation applications. Specific aspects of the position include chronic microelectrode implantation surgery, neural recording (electrophysiological and imaging), calcium imaging of electrically stimulated ex vivo retina, behavioral experiments on chronic brain implants. The ideal applicant will have a neuroscience or biomedical engineering background and hands-on experience with chronic device implantation in the brain. The applicant will be trained on other skills required for the role and is expected to lead the development of innovative and rigorous plans for functional assessment of the experimental devices, by drawing on their research experience. The role also includes expectation for mentorship of undergraduate researchers, collaboration with other labs, and leading writing of manuscripts, proposals, and annual reports.
Responsibilities*
Lead comprehensive testing of chronically implanted carbon fiber electrode arrays in neural recording and stimulation applications, including electrical and optical recording, behavioral experiments, and post-mortem tissue analysis. Collaborate on ex vivo retina calcium imaging experiments. Mentor graduate students and undergraduate researchers. Collaborate with other labs, and leading writing of manuscripts, proposals, and annual reports.
Required Qualifications*
A PhD in Neuroscience or Biomedical Engineering. Hands on experience and competency with chronically implanted electrodes in small animals.
Desired Qualifications*
Experience with behavioral experiments, optical or fluorescence imaging, and ex vivo retina.
Why Join Michigan Medicine?
Michigan Medicine is one of the largest health care complexes in the world and has been the site of many groundbreaking medical and technological advancements since the opening of the U-M Medical School in 1850. Michigan Medicine is comprised of over 30,000 employees and our vision is to attract, inspire, and develop outstanding people in medicine, sciences, and healthcare to become one of the world's most distinguished academic health systems. In some way, great or small, every person here helps to advance this world-class institution. Work at Michigan Medicine and become a victor for the greater good.
What Benefits can you Look Forward to?
  • Excellent medical, dental and vision coverage effective on your very first day
  • 2:1 Match on retirement savings

Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled any time after the minimum posting period has ended.
U-M EEO Statement
The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.
Job Detail
Job Opening ID
282274
Working Title
RESEARCH FELLOW
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Medical School
Department
MM Biomedical Engineering - MS
Posting Begin/End Date
8/26/2026 - 9/09/2026
Career Interest
Research Fellows

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About University of Michigan

Sourced by ZipRecruiter

The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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