2025 Internship - Neural Engineering

Do you want to use what we know about the brain to invent the future of health and intelligent systems?

If you are an undergraduate or graduate student in a major related to neural engineering, we'd love to have you intern with us! We are a large multidisciplinary team of engineers and scientists engaged in groundbreaking research in applied neuroscience, artificial intelligence, and robotics. We are looking for a motivated and collaborative intern to support research and development of intelligent systems.

As a Neural Engineering intern...

• Your primary role will be contributing to algorithms and/or systems in one or more domains spanning neural interfaces, biologically inspired AI, connectomics, and the link between neural signals and human behavior.
• You will make an impact as a part of a multi-disciplinary research team, collaboratively conducting pioneering research with government and commercial partners.
• You will collaborate with engineers and scientists in human subjects research, machine learning, software development, and/or biomedical signal processing.

You meet our minimum qualifications for the job if you...

• Are pursuing a Bachelor's, Master's, or PhD degree in Biomedical Engineering, Neuroscience, Computer Science, Computer Engineering, Electrical Engineering, Cognitive Science, Mathematics or a related subject area
• Have classroom or professional experience developing software and/or data analysis scripts
• Have at least a 3.0 GPA on a 4.0 scale.
• Are able to obtain an interim Secret security clearance prior to reporting and can ultimately acquire a full Secret clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

• Have conducted research on neural interfaces, biologically-inspired artificial intelligence algorithms, connectomics, or behavioral correlates of cognition
• Have developed and/or implemented machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data

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 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 www.jhuapl.edu/careers.

APL is an Equal Opportunity/Affirmative Action employer. 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 promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are 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 Accommodations@jhuapl.edu. Only by ensuring that everyone's voice is heard are we empowered to be bold, do great things, and make the world a better place.

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.