2026 PhD Graduate - Neural and Cognitive Engineering Researcher
Johns Hopkins APL · Laurel, MD · Computer Science
About this role
Johns Hopkins APL is hiring a junior-level Research Scientist in the machine learning function based in Laurel, MD. The posting calls out experience with Data Structures, Machine Learning, Data Analytics. Listed education preference: a Ph.D. or equivalent.
- Role
- Research Scientist
- Function
- machine learning
- Level
- junior
- Track
- Individual contributor
- Location
- Laurel, MD
- Education
- Ph.D. preferred
- Visa
- Not sponsored
- Department
- Computer Science
- Posted
- Sep 19, 2025
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersAre you passionate about designing systems or algorithms using what we know about the mind and brain?
Do you want to help invent the future of how people interact with intelligent systems?
If you are graduating with a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related subject area, we'd love to have you join our team!
We are seeking a researcher to contribute to and lead pioneering work in connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research. 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 teammate to support research and development of intelligent systems as a strategic advantage for the nation.
As a Neural and Cognitive Engineering Researcher...
- Your primary role will be developing algorithms and/or systems in domains spanning connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research.
- You will make an impact as an emerging leader on a multi-disciplinary research team, collaboratively leading and conducting pioneering research with government and commercial partners.
- You will collaborate with engineers and scientists to design and perform human subjects research, machine learning, software development, and/or biomedical signal processing.