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Internship Brain Computer Interface Jobs in Salt Lake City, UT

Serve as the customer interface and organizational consultant on significant issues requiring ... internships/co-ops applicable) * Familiarity with engineering tools such as MATLAB and Python

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Internship Brain Computer Interface information

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How much do internship brain computer interface jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for internship brain computer interface in Salt Lake City, UT is $22.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $23.51 per hour, depending on experience, location, and employer.

What is an internship brain computer interface?

An Internship in Brain-Computer Interface (BCI) involves working with cutting-edge technology that connects the human brain with computers or external devices. As an intern, you may assist in research, data collection, signal processing, machine learning, and hardware development for BCI applications. This role often requires knowledge of neuroscience, programming, and biomedical engineering. Interns typically work in labs, research institutions, or tech companies, contributing to advancements in neurotechnology.

What types of projects or tasks are typically assigned to interns in brain computer interface positions?

Interns in Brain Computer Interface roles often work on data collection and analysis, assist in developing or enhancing algorithmic models, and support the setup and operation of hardware like EEG systems. You may also contribute to literature reviews, help validate experimental protocols, or participate in team meetings to discuss results and troubleshoot challenges. The experience provides hands-on exposure to both hardware and software aspects of BCI research, giving interns valuable skills in experimental design, data analytics, and interdisciplinary collaboration. This immersive environment prepares you for advanced academic or professional careers in neurotechnology and related fields.

What are the key skills and qualifications needed to thrive in the internship brain computer interface position?

To thrive as an Internship Brain Computer Interface, a foundational understanding of neuroscience, signal processing, and programming languages such as Python or MATLAB is essential, usually supported by relevant coursework or lab experience. Familiarity with brain-computer interface platforms, data analysis software, and tools like EEG acquisition systems or machine learning frameworks is often required. Strong analytical skills, adaptability, and clear communication are key soft skills for collaborating with multidisciplinary teams and presenting findings. These competencies are crucial for effectively contributing to research projects and advancing innovation in the field of brain-computer interfaces.

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What cities near Salt Lake City, UT are hiring for Internship Brain Computer Interface jobs?

Cities near Salt Lake City, UT with the most Internship Brain Computer Interface job openings:

Infographic showing various Internship Brain Computer Interface job openings in Salt Lake City, UT as of June 2026, with employment types broken down into 61% Full Time, 31% Part Time, 4% Contract, and 4% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $46,083 per year, or $22.2 per hour.

Professor of Neurotechnology & Brain-Computer Interfaces

The Chronicle Of Higher Education, Inc.

Salt Lake City, UT โ€ข On-site

$80 - $120/hr

Other

Posted 17 days ago


Job description

The Chronicle Of Higher Education, Inc. is seeking candidates for multiple tenure-track Assistant Professor openings in Neurotechnology at the University of Utah. Exceptional candidates will also be considered for higher ranks. This role involves leadership in areas like Brain-Computer Interfaces and Bionics and includes diverse departmental collaboration.

Candidates will need a Ph.D., Sc.D., or M.D., with a robust research background, and a commitment to teaching at both the undergraduate and graduate levels. Applications are reviewed starting January and will continue until filled.

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