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Internship Brain Computer Interface Jobs in Columbia, MD

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Software Developer Intern

Gaithersburg, MD · On-site

$20.75 - $27.25/hr

Our Graduate Internship Program is tailored for individuals passionate about the technology ... Develop, Test andDebug programs, web applications and system interfaces in accordance withclient ...

UPNET

Software Developer Intern

Gaithersburg, MD

$20.75 - $27.25/hr

Interns will have the ability to engage in Engineering and Product Support, while collaborating ... Develop, Test and Debug programs, web applications and system interfaces in accordance with client ...

Alarm.com

Quality Engineer

Tysons Corner, VA

$72K - $93K/yr

Required Qualifications: * Bachelor's degree in Computer Science, Engineering, Information ... Internship, academic, or personal project experience related to QA, automation, or software ...

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

As of Aug 18, 2026, the average hourly pay for internship brain computer interface in Columbia, MD is $22.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $24.09 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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Internship Brain Computer Interface jobs near you
Infographic showing various Internship Brain Computer Interface job openings in Columbia, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $47,259 per year, or $22.7 per hour.

NIST PREP Postdoc Associate in Analysis and Modeling of Wireless Channels for Wearables and Implants

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$80K - $90K/yr

Full-time

Posted 13 days ago

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Analysis and Modeling of Wireless Channels for Wearables and Implants
The work will entail: Developing accurate computational models and phantoms that can be used to emulate tissues and human body organs, although quite challenging, is often needed to assess the reliability of the communication channel used to transfer biological data. These models are not only needed to advance biotech research, but they can also be used to provide channel assessment information to ongoing and future standardization efforts. The project will develop methodologies, computational models, and programming modules to assess wireless channel characteristics for human lung monitoring and brain-computer interface applications.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Collaborate with domain experts to design appropriate parametric framework to study the scientific problem
  • Develop computational models to investigate the performance of a wearable AI system for detecting pulmonary edema.
  • Perform sensitivity analysis of the wireless channel with respect to antenna placement.
  • Investigate feasibility of antenna arrays and assess viability of in-body beamforming by conducting simulations and analysis.
  • Investigate the impact of creeping waves using Poynting vector data
  • Communicate results via technical publications at select conferences and journals.

Qualifications
  • A PhD in Electrical and Computer Engineering, or a related field.
  • Familiarity with Body Area Networks, IEEE 802.15.6 and IEEE802.15 TG6ma, wearable and implant antenna design, computational modeling of human tissues and organs, Maxwell-Garnet model, RF propagation channel modeling.
  • Experience in coding or using ANSYS HFSS, SCAN IP, XCAT, Python, MATLAB.
  • Ability to develop matching computational models for liquid and solid phantoms used in experiments.
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004997

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