Human Machine Teaming Engineer/Scientist

    • Laurel, MD

Are you passionate about forging the future of missile defense?

Are you an innovator who wants to push the boundaries of human-machine teaming?

If so, we're looking for someone like you to join our Human Systems Engineering team at APL.

We are seeking someone with vision into the cutting edge of Human-Machine Teaming (HMT) who will propose research that will transform operations in Air and Missile Defense (AMD) and beyond. Our multi-disciplinary team consists of algorithm designers, computer scientists, combat system designers, psychologists, systems engineers, and others who spend their days designing the missile defense systems of tomorrow and working to improve current-day systems. With us, you will develop solutions to bridge the gaps in human/machine warfighting teams in information-dense, high stakes environments.

As part of our Human Systems Engineering Team, You Will:

•Identify critical challenges and potential solutions that will advance the state of Human Machine Teaming in the domain of Air and Missile Defense
•Propose, contribute to, and lead fast-paced research projects in critical areas such as human behavior and performance, autonomy, judgment, reasoning, and decision-making, perception, attention, trust formation.
•Provide input to team leads and other researchers to help define research vision and strategy and inform technical direction. Support reporting of accomplishments and contributions to sponsors and stakeholder community.
•Lead and participate in multi-organization working groups to review results, refine concepts, propose solutions, and oversee analyses with other team members.

You meet our minimum qualifications for the job if you...
•Hold a Master's Degree in Human Computer Interaction, Artificial Intelligence, Cognitive and Behavioral Sciences, or equivalent, and at least 5 years of progressive experience and responsibilities related to Human Machine Teaming for a complex, information-dense system (military system preferred).
•Have experience in a team environment involving human subjects research, prototyping, usability testing, storyboarding, modeling and simulation, data analysis, etc.
•Have the ability to work independently and with multi-organization teams (e.g., government, industry, peer organizations, and APL).
•Possess excellent oral and written communication skills.
•Are able to obtain a SECRET level security clearance. If selected, you will be subject to a government secret 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...
•Hold a PhD in Human Computer Interaction, Artificial Intelligence, Cognitive and Behavioral Sciences, or equivalent.
•Have at least 10 years of progressive experience and responsibilities related to Human Machine Teaming for Navy ship defense systems with practical experience and progressive responsibilities and accomplishments in Cyber, Radar, Surface Electronic Warfare, Unmanned/Autonomous aircraft and vehicles, Mission Planning, Ship Self-Defense System (SSDS), and/or Aegis Combat System.
•Hold an Active Secret clearance or higher

Why work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at


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