2027 PhD Graduate - Neural Engineering Researcher

Johns Hopkins Applied Physics Laboratory•Laurel, MD

4d•Onsite

About The Position

Are you passionate about using neuroscience and artificial intelligence to better understand the brain and build the next generation of intelligent systems? If you are graduating with a PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, Artificial Intelligence, 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 spanning neuroengineering, 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.

Requirements

PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, Artificial Intelligence, or a related subject area
Classroom or professional experience developing machine learning models, computational methods, data analysis pipelines, and/or scalable scientific software.
Classroom or professional experience conducting research in connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or foundation model-based neurobehavioral analysis.
Able to obtain Secret level security 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.

Nice To Haves

Experience developing or applying advanced machine learning methods—including deep learning, foundation models, generative AI, or statistical learning—to large-scale biomedical, behavioral, imaging, or neurophysiological datasets.
Experience working on a fast-paced government-funded effort (e.g., DARPA project).
A Secret level security clearance or above.

Responsibilities

Developing machine learning models, systems, and computational methods spanning connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research.
Making an impact as an emerging leader on a multi-disciplinary research team, collaboratively leading and conducting pioneering research with government and commercial partners.
Collaborating with engineers and scientists to develop machine learning algorithms, software platforms, and neurotechnology for analyzing, understanding, and interacting with the nervous system.
Communicating key findings both internally across teams and externally to sponsors, including in proposal development.