Neural Engineer: AI-Driven Neurotech & Connectomics

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 85,000 - 165,000

Full time

6 days ago

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Benefits offered by this job

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Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) in Maryland seeks a Neural Engineer to develop ML models and computational methods for connectomics and neuro-inspired AI. Join a team of engineers and scientists advancing intelligent systems for national security.

You will collaborate across neuroengineering, AI, and robotics to create software platforms and neurotechnology for nervous system analysis, and you will communicate findings through papers and demonstrations.

Qualifications

BS or MS in Biomedical Engineering, Computer Science, ECE, neuroscience, AI, or related field.
Experience developing software, ML models, and data analysis pipelines for scientific computing or engineering applications.
Experience in connectomics, neural interfaces, neuro-inspired AI, or neurobehavioral analysis.
Eligibility for U.S. citizenship and ability to obtain Secret level security clearance.

Responsibilities

Develop ML models, systems, and computational methods across connectomics, neural interfaces, neuro-inspired AI, and neurobehavioral research.
Contribute as a technical member of a multidisciplinary neuroengineering team with government and commercial partners.
Collaborate with engineers and scientists to develop ML algorithms, software platforms, and neurotechnology for nervous system analysis.
Communicate technical results through presentations, publications, reports, and demonstrations.