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Internship Brain Machine Interface Jobs in Chicago, IL

Full Stack Engineer

Chicago, IL · On-site

$80 - $120/hr

The TMW Center has launched a wearable device and an accompanying app that uses machine learning to ... While front-end engineers handle most UI development, our ideal candidate will bring a full-stack ...

... internship experience with PCIe, Ethernet, or memory interfaces (DDR) preferred * Strong ... Solid understanding of synchronous design, state machines, clock domains, and FIFO structures

... internship experience with PCIe, Ethernet, or memory interfaces (DDR) preferred * Strong ... Solid understanding of synchronous design, state machines, clock domains, and FIFO structures

... internship experience with PCIe, Ethernet, or memory interfaces (DDR) preferred * Strong ... Solid understanding of synchronous design, state machines, clock domains, and FIFO structures

Our areas of expertise include application modernization, eCommerce, UX/UI design, product strategy ... Support summer internship program planning, onboarding, coordination, and execution. * Work closely ...

... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ... Experience in genAI-powered machine learning, such as agentic workflows, ontology designs, and ...

Interface effectively with repair department to analyze product returns and implement design ... machinery. Deublin spans the world with 13 offices including 5 manufacturing plants and wholly ...

Showing results 21-38

Internship Brain Machine Interface information

See Chicago, IL salary details

$26.3K

$43.9K

$90.7K

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

As of Aug 19, 2026, the average yearly pay for internship brain machine interface in Chicago, IL is $43,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,500.00 and $47,400.00 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 Chicago, IL?

The most popular types of Brain Machine Interface jobs in Chicago, IL are:

What are popular job titles related to Internship Brain Machine Interface jobs in Chicago, IL?

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

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

The top searched job categories for Internship Brain Machine Interface jobs in Chicago, IL are:

$80 - $120/hr

Other

Medical, Retirement, PTO

Re-posted 27 days ago


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Job description

## Full Stack EngineerApplyremote type: Onsitelocations: Chicago, ILtime type: Full timeposted on: Posted 3 Days Agojob requisition id: JR33724**Department**BSD SUR - OHNS: Thirty Million Words - Tech**About the Department**The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence-based interventions designed to promote very young children’s cognitive and social-emotional development. TMW Center interventions are designed to be embedded into existing health, education, and social service systems working at scale in a given community in order to meet families where they already are. The TMW Center has a robust research and development strategy that includes further development and testing of TMW interventions; harnessing technology to support behavior change, intervention engagement, and analysis; and furthering strategies to engage parents in the TMW Center’s interventions across the health, early learning, and social service sectors.**Job Summary**The Full Stack Engineer performs a variety of activities relating to software support and/or development. Provides analysis, design, development, debugging, and modification of computer code for end user applications, beta general releases, web pages, and production support. Troubleshoots problems using existing procedures to find a possible solution. The TMW Center for Early Learning + Public Health (TMW Center) develops, tests, and implements evidence-based interventions designed to promote very young children’s cognitive and social-emotional development, with emerging technologies that enhance—rather than replace—the pivotal role that caregivers play in building healthy young brains. Although there is a rich body of research demonstrating the importance of the early language environment for maximizing early learning, there are very ways to assess the quality of those environments. As a result, when it comes to nurturing their children’s brains, parents often feel like they are in a maze without a map. The TMW Center has launched a wearable device and an accompanying app that uses machine learning to measure and analyze a child’s language environment and provide real-time information as well as personalized feedback and guidance for enhancing that environment. This groundbreaking piece of technology gives parents and caregivers with information they need to engage in robust brain-building interactions — and helps deepen caregiver-child connection. We’re looking for a Senior Full Stack Engineer with a strong focus on backend development to join our growing engineering team. Our ideal candidate will work primarily within our Django system, with additional contributions to a .NET platform that shares a React.js front end. In this role, our ideal candidate will collaborate closely with other engineers, and the CTO to build, enhance, and maintain scalable software systems. While front-end engineers handle most UI development, our ideal candidate will bring a full-stack perspective — understanding how backend decisions affect the user experience and the overall system architecture.**Responsibilities*** Lead the development and maintenance of backend services and APIs in Django (primary) and .NET (secondary).* Collaborate with front-end engineers to design and implement effective interfaces between the backend and the React.js client.* Architect scalable data models, services, and integrations with third-party APIs.* Contribute to system architecture decisions and help guide best practices in backend and full-stack development.* Write clean, maintainable, and well-tested code across multiple systems.* Participate in code reviews, technical design sessions, and cross-functional collaboration with product and design teams.* Support CI/CD pipelines and ensure smooth deployments and system reliability.* Mentor other engineers and contribute to improving development processes.* Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.* Investigates, analyzes and resolves day-to-day technical problems using standard procedures.* Works with stakeholders to gather and analyze requirements for developmental programs. Receives a moderate level of guidance to design applications to meet University and business requirements.* Performs code testing on components and works to ensure that appropriate implementation standards are met. Evaluates design alternatives for development cost and solutions using various methods.* Supports and maintains existing applications. Works with web developers and responds to requests from users.* Performs other related work as needed.**Minimum Qualifications****Education:**Minimum requirements include a college or university degree in related field.**Work Experience:**Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.**Certifications:****---****Preferred Qualifications****Education:*** Advanced Degree in data science, data analytics, computer science, software engineering or related fields strongly preferred.**Experience:*** Knowledge and skills developed through 7+ years of work experience in a related job discipline, with a strong emphasis on backend systems.* Proven experience building web applications with Python/Django.* Working knowledge of C# / .NET frameworks and services.* Comfortable working with React.js and modern front-end tooling.* Experience designing and consuming RESTful APIs; understanding of web performance and security principles.* Strong database skills with PostgreSQL and/or SQL Server.* Familiarity with cloud environments (AWS, Azure, or similar).**Preferred Competencies*** Experience with containerization and orchestration tools (Docker, Kubernetes).* Exposure to TypeScript, GraphQL, or other modern web technologies.* Familiarity with CI/CD systems (GitHub Actions, Azure DevOps, etc.).* Prior experience in a startup or rapidly scaling environment.**Working Conditions*** Office Environment.**Application Documents*** Resume (required)* Cover Letter (required)When applying, the document(s) **MUST** be uploaded via the **My Experience** page, in the section titled **Application Documents** of the application.**Job Family**Information Technology**Role Impact**Individual Contributor**Scheduled** **Weekly Hours**40**Drug Test Required**No**Health Screen Required**No**Motor Vehicle Record Inquiry Required**No**Pay Rate Type**Salary **FLSA Status**Exempt **Pay Range**$80,000.00 - $120,000.00The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.**Benefits Eligible**YesThe University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.**Posting Statement**The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637. #J-18808-Ljbffr

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