ZipRecruiter

Log In

1

Internship Brain Machine Interface Jobs in Illinois

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... machine learning, embedded systems, and robotics. You can pick a primary area while still having ... Many of our past interns have gone on to join OceanComm full-time. Strong performers will be ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL

$35 - $55/hr

... machine learning, embedded systems, and robotics. You can pick a primary area while still having ... Many of our past interns have gone on to join OceanComm full-time. Strong performers will be ...

OceanComm, Inc.

Engineering Intern / Co-op

Chicago, IL · On-site

$35 - $55/hr

... machine learning, embedded systems, and robotics. You can pick a primary area while still having ... Many of our past interns have gone on to join OceanComm full-time. Strong performers will be ...

next page

Showing results 1-20

All JobsBrain Machine Interface JobsInternship Brain Machine Interface JobsInternship Brain Machine Interface Jobs in Illinois

Internship Brain Machine Interface information

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, and why are they important?

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 are Internship Brain Machine Interface positions?

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 the most commonly searched types of Brain Machine Interface jobs in Illinois? The most popular types of Brain Machine Interface jobs in Illinois are:
What are popular job titles related to Internship Brain Machine Interface jobs in Illinois? For Internship Brain Machine Interface jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Internship Brain Machine Interface jobs in Illinois look for? The top searched job categories for Internship Brain Machine Interface jobs in Illinois are:
What cities in Illinois are hiring for Internship Brain Machine Interface jobs? Cities in Illinois with the most Internship Brain Machine Interface job openings:
Internship Brain Machine Interface jobs near you
Tenure-track Faculty (Open Rank) Position in ALS/Motor Neuron Disorders #NEU057

Tenure-track Faculty (Open Rank) Position in ALS/Motor Neuron Disorders #NEU057

The University of Chicago

Chicago, IL • On-site

Full-time

Posted 4 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

152nd of 612 rated colleges and universities

Job description

Description
The University of Chicago's Department of Neurology in the Biological Sciences Division (BSD), in collaboration with the University of Chicago Neuroscience Institute's Center for Motor Neuron Disease, is searching for an open rank tenure-track faculty member, either a physician scientist or a basic scientist, who has made and will continue to make significant contributions to our understanding of ALS and/or other motor neuron disorders, as well as toward the development of treatments and potential cures.
The appointee will have at least 80% protected time for research and is expected to lead a translational research effort, capitalizing on the intersection of several existing programs in BSD and the University. These include, but are not limited to, the Center for Motor Neuron Disease, an ALS Clinic of Excellence, the Pritzker School of Molecular Engineering, and the Committee on Neurobiology. The appointee will also have the opportunity to collaborate with faculty in the Departments of Neurology and Neurobiology, as well as with faculty in the Neuroscience Institute. Teaching at the graduate and/or undergraduate level and mentoring of trainees are core components of the position. Academic rank and compensation (including a generous package of fringe benefits) are dependent upon qualifications.
The University of Chicago is a vibrant center of scientific discovery and innovation. Opportunities for multidisciplinary collaboration are abundant, both within and outside the Biological Sciences Division, and include faculty performing cutting-edge research in Systems and Computational Neuroscience, Genetics, Neurodegeneration, Brain-Machine Interfaces, and Molecular Engineering. The Neurology Department has a long history of world-class research and training in basic, translational, and clinical aspects of ALS and Motor Neuron Disorders. The Division, other academic units of the University, and the University of Chicago Medical Center, are all contained within one compact campus in Chicago, Hyde Park. The appointee will have access to state-of-the-art core facilities and to outstanding colleagues and graduate students affiliated with numerous degree-granting programs within and outside the biological sciences.
Prior to the start of employment, qualified applicants must: 1) have a medical doctorate or equivalent, or PhD, in a related field 2) hold or be eligible for medical licensure in the State of Illinois, if applicable, and 3) be Board certified or eligible in Neurology, if applicable.
We especially welcome applications from physician scientists or scientists who have interest in research in this area and have a history of and/or currently hold extramural funding.
To be considered, those interested must apply through The University of Chicago, Academic Recruitment job board, which uses Interfolio to accept applications: http://apply.interfolio.com/151709. Applicants must upload a cover letter, CV, and statement of research objectives. Review of applications ends when the position is filled.
For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp.

What University Of Chicago employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply