Senior Autonomous Systems Research Scientist
Carnegie Mellon University(1 month ago)
About this role
A Senior Autonomous Systems Research Scientist at Carnegie Mellon’s AI for Autonomy Lab conducts and leads fundamental research on AI-enabled autonomous systems for high-stakes, mission-critical environments. The role focuses on advancing knowledge around assurance, collaborative autonomy, and the lifecycle of learning-based systems and translating research to support U.S. government sponsors. The position is embedded in the SEI’s AI Division and supports development of prototype operational capabilities.
Required Skills
- Applied Machine Learning
- Assured Autonomy
- Collaborative Autonomy
- Counter-Autonomy
- Modeling
- Simulation
- Motion Planning
- Mission Planning
- Research Leadership
- Solution Development
+4 more
Qualifications
- BS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related (10 years experience)
- MS in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related (8 years experience)
- PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or related (5 years experience)
- Eligible to obtain and maintain Department of War security clearance
About Carnegie Mellon University
cmu.eduCMU is a global research university known for its world-class, interdisciplinary programs: arts, business, computing, engineering, humanities, policy and science.
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