Neural Engineering Scientist — AI & Neurotech

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory (APL) seeks a Neural Engineering Researcher to drive the development of machine learning models and neurotechnologies for connectomics and neurally-inspired AI. You will lead multi-disciplinary research with engineers and scientists, collaborating with government and commercial partners to advance intelligent systems that enable strategic capabilities.

The role emphasizes pioneering research, leadership potential, and the ability to communicate

Qualifications

• PhD in a relevant field required.
• Experience building ML models, data analysis pipelines, or scalable scientific software.
• Experience in connectomics, neural interfaces, neurally-inspired AI or foundation-model neurobehavioral analysis.
• Must be able to obtain Secret security clearance; U.S. citizenship required.

Responsibilities

• Develop ML models, systems, and computational methods across connectomics and neurally-inspired AI.
• Lead and collaborate on pioneering research with government and commercial partners.
• Work with engineers/scientists to build ML algorithms, software platforms, and neurotechnology for nervous system analytics.
• Communicate findings internally and to sponsors, including proposal development.

Skills

Machine learning

Neural engineering

Data analysis

Cross-disciplinary collaboration

Education

PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Neuroscience, Artificial Intelligence, or related

Job description

Johns Hopkins University Applied Physics Laboratory (APL) seeks a Neural Engineering Researcher to drive the development of machine learning models and neurotechnologies for connectomics and neurally-inspired AI. You will lead multi-disciplinary research with engineers and scientists, collaborating with government and commercial partners to advance intelligent systems that enable strategic capabilities.

The role emphasizes pioneering research, leadership potential, and the ability to communicate