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Research Scientist in AI/ML for Dynamics and Control Hybrid - Raytheon
Research Engineer
Lead advanced AI/ML research to develop intelligent control systems for aerospace applications, leveraging Python, MATLAB, ROS, and reinforcement learning to innovate dynamic control solutions.
About the role
Key Responsibilities
- Design, implement, and validate machine learning models for real‑time dynamic control of aerospace systems.
- Develop and integrate reinforcement learning algorithms with classical control theory to enhance system robustness.
- Collaborate with cross‑functional teams to translate research into deployable software using Python, MATLAB, and ROS.
- Conduct rigorous simulation and experimental testing to evaluate performance and safety metrics.
- Publish findings in technical reports and peer‑reviewed conferences, contributing to the organization’s knowledge base.
Requirements
- Ph.D. or Master’s in Control Systems, Robotics, AI, or related field.
- Strong programming skills in Python and MATLAB, with experience in ROS.
- Proven expertise in reinforcement learning, dynamics modeling, and control theory.
- Excellent analytical, problem‑solving, and communication abilities.
- Ability to work independently in a hybrid environment and collaborate across disciplines.
Skills
pythonreinforcement learningrosmachine learning