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RTX

Research Scientist, AI/ML – Dynamics and Control

RTX

Research Scientist in AI/ML for Dynamics and Control at aerospace and defense company. Focused on developing novel control solutions for defense applications across various systems and technologies.

Posted 6/18/2026full-timeEast Hartford • Connecticut • 🇺🇸 United StatesMid-LevelSenior💰 $86,800 - $165,200 per yearWebsite

Tech Stack

Tools & technologies
Cyber SecurityPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Design and develop novel control solutions for aerospace and defense applications including, but not limited to, jet engines, missiles, autonomous vehicles and systems, avionics, aircraft power systems and air management, hypersonic vehicles, advanced manufacturing, and space systems;
  • Work in a multidisciplinary setting, bringing system-level perspective to new cutting-edge technologies from multiple fields (autonomy, power systems, cyber security, mechanical systems, aerodynamics, thermal management)
  • Lead and support externally and internally sponsored programs, write external and internal research proposals;
  • Disseminate research results through reports, conference proceedings, and peer-reviewed articles, and developing intellectual property.

Requirements

What you’ll need
  • Ph.D. in Mathematics, Physics, Computer Science or Engineering.
  • Strong fundamentals in control: standard multivariable control and estimation techniques (e.g., LQR/LQG, Kalman filters , optimization-based control, including Model Predictive Control), from formulating the problem to implementation in software
  • Experience with machine learning for control, including Reinforcement Learning (RL) for safety-critical systems (e.g., model-based RL, Sim2Real transfer learning, or safety guarantees using Control Barrier Functions)
  • Verification & Validation of AI/ML control laws
  • Neural-network representations of controllers and estimators (e.g., Physics-Informed Neural Networks for MPC, or Neural Network based MPC)
  • Control-oriented modeling of physical systems, both from first principles and data-driven (including learning-based methods such as Physics-Informed Neural Networks)
  • Proficiency in MATLAB/Simulink, Python, Pytorch or TensorFlow

Benefits

Comp & perks
  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • long-term disability
  • 401(k) match
  • flexible spending accounts
  • flexible work schedules
  • employee assistance program
  • Employee Scholar Program
  • parental leave
  • paid time off
  • holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
control techniquesmultivariable controlestimation techniquesLQRLQGKalman filtersoptimization-based controlModel Predictive Controlmachine learningReinforcement Learning
Soft Skills
leadershipcommunicationcollaborationresearch proposal writingdissemination of research results
Certifications
Ph.D. in MathematicsPh.D. in PhysicsPh.D. in Computer SciencePh.D. in Engineering