2027 BS/MS Graduate - Neural Engineer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

7d•Onsite

About The Position

We are seeking an engineer to develop pioneering technologies in connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research. You will work alongside leading engineers and scientists in neuroengineering, artificial intelligence, and robotics while growing your technical expertise and shaping the future of intelligent 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. Your primary role will be developing machine learning models, systems, and computational methods spanning connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research. You will make an impact as a technical contributor to a multidisciplinary neuroengineering research team, collaboratively conducting pioneering research with government and commercial partners. You will collaborate with engineers and scientists to develop machine learning algorithms, software platforms, and neurotechnology for analyzing, understanding, and interacting with the nervous system. You will communicate technical results to teammates, collaborators, and sponsors through presentations, publications, technical reports, and demonstrations.

Requirements

BS or MS in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, Artificial Intelligence, or a related subject area.
Classroom, research, internship, or professional experience developing software, machine learning models, computational methods, and/or data analysis pipelines for scientific computing or engineering applications.
Classroom or professional experience in one or more areas related to connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral analysis.
Able to obtain a 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.
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 a technical contributor to a multidisciplinary neuroengineering research team, collaboratively 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 technical results to teammates, collaborators, and sponsors through presentations, publications, technical reports, and demonstrations.