Senior Autonomous Systems Research Scientist

Leads teams and develops original research and contributions to solve problems in the mission areas of the SEI, frequently as the principal investigator. Defines and proposes new research topics and leads complex research projects and research staff.

As AI-enabled autonomous systems get closer to widespread deployment, fundamental research questions remain around their development and use, especially in high-stakes environments. How can we guarantee systems respond appropriately in critical scenarios? How can we employ collaborative autonomy to maximize mission objectives? What is the appropriate level of autonomy to enable a specific mission? 

 

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 identify, lead, and 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). 

• Assured 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. 

 

Knowledge, Skills, and Abilities 

 

• A published track record of cond