Principal Engineer: Learning for Dynamics & Control

RTX; East Hartford (CT); Hybrid; USD 108,000 - 205,000; Full time

Benefits offered by this job

Parental leave

Flexible schedules

Educational assistance

Scholar program

Job summary

RTX Technology Research Center (RTRC) seeks a Research Scientist in Learning for Dynamics and Control. This role targets developing cutting-edge control methods for aerospace and defense systems, combining ML with traditional control theory.

The position is hybrid, based in the United States, and involves collaboration with academia and government partners. The ideal candidate holds a PhD or MS with substantial industrial experience, and demonstrates expertise in model-based control, MPC, RL,

Qualifications

• PhD or MS in a relevant field with substantial industrial experience.
• Strong background in model-based control and optimization.
• Experience with ML for control, including RL and safety guarantees.

Responsibilities

• Design and develop control solutions for aerospace applications.
• Lead sponsored programs and write research proposals.
• Disseminate results via reports, conferences, and journals.
• Develop IP and collaborate across multidisciplinary teams.

Skills

Model-based control

Reinforcement Learning

Neural networks

Python

TensorFlow/PyTorch

Education

PhD in Math/Physics/CS/Engineering

MS in Math/Physics/CS/Engineering

Tools

MATLAB/Simulink

Python

PyTorch/TensorFlow

Job description

RTX Technology Research Center (RTRC) seeks a Research Scientist in Learning for Dynamics and Control. This role targets developing cutting-edge control methods for aerospace and defense systems, combining ML with traditional control theory.

The position is hybrid, based in the United States, and involves collaboration with academia and government partners. The ideal candidate holds a PhD or MS with substantial industrial experience, and demonstrates expertise in model-based control, MPC, RL,