The AI for Autonomy Lab within the SEI’s AI Division is recruiting a Senior Autonomous Systems Research Scientist who has a passion for solving complex problems in real-world, mission-critical environments to tackle questions like these. The lab is focused on the lifecycle of AI-enabled autonomous systems and helping our sponsors apply AI appropriately to increase system effectiveness without adding unacceptable risk.

Position Summary: As a Senior Autonomous Systems Research Scientist you will develop a research agenda and lead/conduct research in support of critical U.S. government needs.

The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas:

• Applied Machine Learning and AI: Research and implement machine learning principles, techniques, and architectures on autonomous systems in varying domains (e.g., air, sea, land).
• UxV Autonomy: Create tools and techniques for evaluating and explaining AI-enabled autonomous system performance.
• Collaborative Autonomy: Study AI approaches to motion planning, task planning, mission planning, and command and control to enable effective, resilient, and scalable teaming.
• Counter-Autonomy: Investigate system development approaches and methods for mitigating vulnerabilities associated with the inclusion of machine learning in autonomous systems.
• Modeling and Simulation: Use simulation to develop techniques for data-driven evaluation of real-world learning-based autonomous systems.

Duties:

• Hands-on Research: Lead novel research in applied machine learning and robotics.
• Solution Development: Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
• Collaboration: Actively participate with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential solutions.
• Mentoring: Mentor and teach junior staff, lead technical sessions, and contribute to the establishment of technical norms for the Lab.
• Intellectual Curiosity: Maintain awareness of the latest in AI-enabled autonomous systems, especially as it pertains to National Security use cases.
• Technical Communication: Develop and deliver compelling technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in pertinent peer-reviewed journals.

The AI for Autonomy Lab within the SEI’s AI Division is recruiting a Senior Autonomous Systems Research Scientist who has a passion for solving complex problems in real-world, mission-critical environments to tackle questions like these. The lab is focused on the lifecycle of AI-enabled autonomous systems and helping our sponsors apply AI appropriately to increase system effectiveness without adding unacceptable risk.

Position Summary: As a Senior Autonomous Systems Research Scientist you will develop a research agenda and lead/conduct research in support of critical U.S. government needs.

The ideal candidate will have a strong background with hands-on experience solving problems in one or more of the following technology areas:

• Applied Machine Learning and AI: Research and implement machine learning principles, techniques, and architectures on autonomous systems in varying domains (e.g., air, sea, land).
• UxV Autonomy: Create tools and techniques for evaluating and explaining AI-enabled autonomous system performance.
• Collaborative Autonomy: Study AI approaches to motion planning, task planning, mission planning, and command and control to enable effective, resilient, and scalable teaming.
• Counter-Autonomy: Investigate system development approaches and methods for mitigating vulnerabilities associated with the inclusion of machine learning in autonomous systems.
• Modeling and Simulation: Use simulation to develop techniques for data-driven evaluation of real-world learning-based autonomous systems.

Duties:

• Hands-on Research: Lead novel research in applied machine learning and robotics.
• Solution Development: Lead interdisciplinary teams to turn research results into prototype operational capabilities for government customers and stakeholders.
• Collaboration: Actively participate with researchers, developers, engineers, designers, technical leads, campus labs, and our government customers to understand challenges, needs, and potential solutions.
• Mentoring: Mentor and teach junior staff, lead technical sessions, and contribute to the establishment of technical norms for the Lab.
• Intellectual Curiosity: Maintain awareness of the latest in AI-enabled autonomous systems, especially as it pertains to National Security use cases.
• Technical Communication: Develop and deliver compelling technical presentations for diverse audiences, tailor content for varied stakeholders, speak at conferences and workshops, and publish in pertinent peer-reviewed journals.