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Internship Brain Machine Interface Jobs in New York

This internship provides hands-on experience in applying artificial intelligence technologies ... Build and enhance user interfaces using JavaScript, HTML, and CSS. * Participate in the development ...

... Brain Surgery, and many more! We are searching for top-tier talent to apply their gifts to making ... Interface with Business Development to transfer new activities into the company. * Manage a limited ...

Senior Mechanical Engineer

Lyndhurst, NJ · On-site

$106K - $140K/yr

... Brain Surgery, and many more! We are searching for top-tier talent to apply their gifts to making ... Interface with Business Development to transfer new activities into the company. * Manage a limited ...

Sr. Front End Engineer, AWS Marketplace

New York, NY · On-site

$134K - $184K/yr

We are one of the fastest-growing teams in AWS, and interface with a diverse internal and external ... BASIC QUALIFICATIONS - 4+ years of non-internship professional front end, web or mobile software ...

Showing results 41-49

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?

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 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 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 New York?

The most popular types of Brain Machine Interface jobs in New York are:

What job categories do people searching Internship Brain Machine Interface jobs in New York look for?

The top searched job categories for Internship Brain Machine Interface jobs in New York are:

What cities in New York are hiring for Internship Brain Machine Interface jobs?

Cities in New York with the most Internship Brain Machine Interface job openings:

Internship

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Founded in 1925, Festo Corporation is the leading worldwide supplier of automation technology and the performance leader in industrial training and education programs.  For many years Festo has been providing impetus for factory automation and offers a wide product and service portfolio - from individual components to complex customized solutions and system. As a family-owned company, we act from a holistic perspective. We take responsibility for our actions globally and locally, we want to contribute to the quality of life and conservation of resources where we operate with new technologies, knowledge and education.

At Festo, we hire people who continuously live our five core Values:

  • We are Ambitious
  • We are Determined
  • We are Visionary
  • We Value Each Other
  • We are Dependable

Position Summary:

We are seeking a motivated and technically curious AI Engineer Intern to support the design, development, and deployment of AI-driven software solutions. This internship provides hands-on experience in applying artificial intelligence technologies within real-world business applications while collaborating with software engineers, and business stakeholders.

The ideal candidate has a strong foundation in software development, is proficient in modern programming languages and web technologies, and demonstrates an interest in leveraging AI tools and frameworks to enhance software products and business processes.

Key Responsibilities:

  • Assist in the development, testing, and deployment of AI-enabled applications and software solutions.
  • Collaborate with software engineers to integrate AI capabilities into existing and new applications.
  • Develop and maintain Python-based scripts, services, and automation solutions.
  • Build and enhance user interfaces using JavaScript, HTML, and CSS.
  • Participate in the development and consumption of REST APIs for application integration.
  • Support data preparation, model evaluation, prompt engineering, and AI workflow optimization activities.
  • Utilize Git for source control, code management, and team collaboration.
  • Troubleshoot software issues and contribute to code reviews and quality improvement initiatives.
  • Research emerging AI technologies, frameworks, and best practices and present findings to the team.
  • Document technical designs, development activities, and implementation procedures.

Required Qualifications

  • Currently pursuing or graduated in a bachelor's or master's degree in:
    • Computer Science
    • Software Engineering
    • Information Technology
    • Data Science
    • Artificial Intelligence
    • Related technical discipline
  • Proficiency in Python.
  • Working knowledge of JavaScriptHTML, and CSS.
  • Experience using Git for version control.
  • Understanding of software development fundamentals, including debugging, testing, and coding best practices.
  • Familiarity with object-oriented programming concepts.
  • Basic understanding of web application architecture.
  • Preferred experience applying AI technologies in a software development context, such as:
    • Generative AI applications
    • Large Language Models (LLMs)
    • AI-assisted coding tools
    • Machine Learning projects
    • Prompt engineering
    • AI workflow automation
  • Preferred experience working with or integrating REST APIs.
  • Exposure to AI frameworks and tools, such as Azure AI Services
  • Experience developing personal, academic, or open-source software projects.
  • Familiarity with cloud platforms (Azure, AWS, or Google Cloud).

Desired Competencies:

  • Strong analytical and problem-solving skills.
  • Ability to learn new technologies quickly.
  • Effective verbal and written communication skills.
  • Self-motivated with a passion for innovation and continuous learning.
  • Ability to work independently and within a collaborative team environment.
  • Curiosity about practical applications of AI in business and software engineering.

Benefits:

Festo Corporation offers a robust benefits package, which is designed to help you and your dependents stay healthy, feel secure and maintain a work/life balance. This is just one way we strive to provide employees with a rewarding workplace. As an effort to keep pace with healthcare trends, Festo Corporation is committed to providing a comprehensive benefits package to its employees which includes...Medical, Dental, Vision, Flexible Spending Programs, Short-term and Long-term disability, 401k, Pet Insurance, Paid Holidays, Paid time off, Educational assistance and many more.