Johns Hopkins Applied Physics Lab

2026 PhD Graduate - Neural and Cognitive Engineering Researcher

Johns Hopkins Applied Physics Lab$105K — $245K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or related discipline
  • Experience developing software and/or data analysis scripts
  • Research experience in connectomics, neural interfaces, neurally-inspired AI, or neurobehavioral research
  • Ability to obtain a Secret level security clearance, requiring U.S. citizenship.

Responsibilities

  • Develop algorithms and/or systems in domains such as connectomics and neural interfaces
  • Lead and conduct pioneering research on a multi-disciplinary team
  • Collaborate with engineers and scientists on human subjects research and machine learning
  • Communicate research findings to internal teams and sponsors, including during proposal development.

Benefits

  • Vibrant and welcoming workplace culture
  • Robust education assistance program
  • Unparalleled retirement contributions
  • Healthy work/life balance
  • Comprehensive benefits package including medical, dental, and vision insurance.
Full Job Description
Description

Are you passionate about designing systems or algorithms using what we know about the mind and brain?

Do you want to help invent the future of how people interact with intelligent systems?

If you are graduating with a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, 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 in applied neuroscience, 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.

As a Neural and Cognitive Engineering Researcher...
  • 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.

Qualifications

You meet our minimum qualifications for the job if you...
  • 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.

You'll go above and beyond our minimum requirements if you...
  • 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.

Minimum Rate

$105,000 Annually

Maximum Rate

$245,000 Annually

About Johns Hopkins Applied Physics Lab

The Johns Hopkins University Applied Physics Laboratory (APL) is a research and development organization that provides solutions to national security and scientific challenges. The laboratory was founded in 1942 and is located in Laurel, Maryland. APL is a division of the Johns Hopkins University and is a not-for-profit organization. The laboratory has expertise in a variety of areas, including space exploration, national security, and healthcare.
Learn more about Johns Hopkins Applied Physics Lab
Size
7,000 employees
Industry
Founded
1942

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