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Johns Hopkins Applied Physics Laboratory · 3 months ago

2026 PhD Graduate - Neural and Cognitive Engineering Researcher

Laurel, Maryland

Full-time

Onsite

New Grad, Entry Level

$102K/yr - $228K/yr

Johns Hopkins Applied Physics Laboratory is a leader in defense, security, and scientific challenges. They are seeking a PhD graduate to contribute to research in connectomics, neural interfaces, and neurally-inspired artificial intelligence, collaborating with a multidisciplinary team to drive innovative projects.

EducationUniversities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

You will communicate key findings both internally across teams and externally to sponsors, including in proposal development

Qualification

In relevant fieldSoftware developmentData analysisMachine learningConnectomics researchNeural interfaces researchNeurally-inspired AINeurobehavioral researchCollaborationCommunicationTeamwork

Required

Have a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related discipline

Have classroom or professional experience developing software and/or data analysis scripts

Have classroom or professional experience conducting research on connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research

Are able to obtain a final 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

Preferred

Have classroom or professional experience developing and/or implementing machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data

Have experience working on a fast-paced government-funded effort (e.g., DARPA project)

Have a Secret level security clearance or above

Benefits

Robust education assistance program

Unparalleled retirement contributions

Healthy work/life balance

Comprehensive benefits package including retirement plans

Paid time off

Medical

Dental

Vision

Life insurance

Short-term disability

Long-term disability

Flexible spending accounts

Education assistance

Training and development

Company

Johns Hopkins Applied Physics Laboratory

The Johns Hopkins Applied Physics Laboratory (APL) is a not-for-profit university-affiliated research center (UARC) that provides solutions to complex national security and scientific challenges with technical expertise and prototyping, research and development, and analysis.

Founded in 1942