2026 Internship - Neural Engineering

Johns Hopkins Applied Physics Laboratory•Laurel, MD

30d•$23 - $48

About The Position

Do you want to use what we know about the brain to invent the future of brain 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, robotics, and complex systems. 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 neurobehavioral research. 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.

Requirements

Are pursuing a Bachelor's, Master's, or PhD degree in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, Computer Engineering, Electrical Engineering, 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.
Have US citizenship or permanent resident status which is required to access APL's facilities and networks, subject to applicable laws.

Nice To Haves

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

Responsibilities

Contributing to algorithms and/or systems in one or more domains spanning neural interfaces, biologically inspired AI, connectomics, and neurobehavioral research.
Collaboratively conducting pioneering research with government and commercial partners.
Collaborating with engineers and scientists in human subjects research, machine learning, software development, and/or biomedical signal processing.