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Internship Brain Computer Interface Jobs in Reisterstown, MD

Visionist, Inc.

Software Engineer Intern

Columbia, MD · On-site

$27 - $35/hr

Interns will work on small development team to design a real-world application utilizing current ... Your contributions are... - Work on a group project that includes backend, user-interface, and ...

Visionist, Inc.

Software Engineer Intern

Columbia, MD · On-site

$27 - $35/hr

Interns will work on small development team to design a real-world application utilizing current ... interface, and content management - Participate in the full development life cycle including ...

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

As of Sep 9, 2026, the average hourly pay for internship brain computer interface in Reisterstown, MD is $21.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.26 and $22.64 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.

What are popular job titles related to Internship Brain Computer Interface jobs in Reisterstown, MD?

For Internship Brain Computer Interface jobs in Reisterstown, MD, the most frequently searched job titles are:

What job categories do people searching Internship Brain Computer Interface jobs in Reisterstown, MD look for?

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What cities near Reisterstown, MD are hiring for Internship Brain Computer Interface jobs?

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Internship Brain Computer Interface jobs near you
Infographic showing various Internship Brain Computer Interface job openings in Reisterstown, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,460 per year, or $21.4 per hour.

2027 Internship - Weapon System Engineer (Analyst)

Laurel, MD • On-site

Johns Hopkins Applied Physics Laboratory
Manufacturing • 5 - 10K employees
Learn more about Johns Hopkins Applied Physics Laboratoryexternal

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Key responsibilities

  • Support in-depth analyses at the system and sub-system levels, producing data-driven recommendations that inform design decisions.

  • Integrate into multidisciplinary teams to apply systems-engineering principles to shape platforms meeting warfighter requirements.

  • Learn and apply models, simulations, and assessment tools under the guidance of senior analysts and engineers.

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 75 rated research

Job description

Description
Are you eager to intern with a team tackling some of our Nation's most compelling security challenges?
Do you have a passion for weapon-system concepts and a drive to apply analytical thinking and systems thinking to strategic deterrence and national defense?
Would you like to grow your expertise while helping a team shaping the future of America's most advanced strategic systems?
Do you enjoy working on tough technical problems and learning from seasoned experts while making a tangible impact?
If so, we have the perfect opportunity for you!
The System Definition & Validation team (KBY) in the Force Projection Sector (FPS) of the Johns Hopkins University Applied Physics Laboratory (JHU/APL) is seeking motivated analysts, engineers, scientists, mathematicians, statisticians, and systems engineers to fill the role of Weapon System Engineer (Analyst) - Intern. The successful candidate will work on complex, multi-disciplinary problems alongside senior experts, gaining the experience and mentorship needed to support a future in strategic-systems analysis.
As a Weapons Systems Engineer (Analyst) - Intern for KBY you will...
  • Integrate into multidisciplinary teams that apply a "whole-of-system" perspective and systems-engineering rigor to shape platforms that meet current and future warfighter requirements.
  • Support in-depth analyses at the system and sub-system levels, producing data-driven recommendations that inform design decisions.
  • Develop an understanding of how weapon systems function, are tested, operated, and maintained, and how they fit into broader deterrence concepts.
  • Learn the fundamentals of systems engineering including but not limited to requirements, interfaces, and capabilities.
  • Expand knowledge of weapon systems, associated delivery platforms, and the system-level engineering processes that support them.
  • Apply models, simulations, and assessment tools under the guidance of senior analysts and engineers.
  • Provide fresh perspectives and analytical rigor, leveraging your technical background to challenge assumptions and contribute innovative ideas.

Qualifications
You meet our minimum qualifications for the job if you...
  • Are currently enrolled in a Bachelor's, Master's, or PhD degree program in engineering, computer science, physics, applied mathematics, or a related technical discipline.
  • Demonstrate strong problem-solving skills, quantitative analysis capabilities, and clear communication of technical concepts both in writing and orally.
  • Have interest in learning systems engineering principles.
  • Show the right attributes for growth - curiosity, adaptability, teamwork, and a drive to develop deep weapon-system expertise.
  • Have a minimum 3.0 GPA on a 4.0 scale.
  • Are able to obtain an Interim Secret-level security clearance before your start date and can ultimately obtain a Top Secret clearance. If selected, you will be subject to a government security investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll exceed our minimum requirements with experience in any of the following...
  • Exposure to weapon-system concepts (e.g., missiles, bombers, hypersonics, or comparable high-technology platforms) through internships, or research projects.
  • Experience conducting trade-studies, requirements analysis, or system- / sub-system-level modeling in any engineering domain.
  • Familiarity with high-fidelity simulation or model-based systems engineering tools.
  • Have experience or interest in developing and implementing model-based approaches to enhance the design and analysis of complex systems, including but not limited to requirements and architecture development.
  • Have familiarity or experience using systems engineering software, especially Model-Based Systems Engineering (MBSE) tools like Cameo/Magic Draw and Dynamic Object Oriented Requirements System (DOORS).
  • Have used MBSE tools and methods to design, analyze, and optimize systems for definition and validation, including the development of system models, simulation, and trade studies to evaluate system performance.
  • Hold an active security clearance.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$22.60 Hourly
Maximum Rate
$47.95 Hourly

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