Dynamic Modeling and Simulation Engineer

Qualifications

• Bachelor’s or Master’s degree in Aerospace Engineering, Aeronautical Engineering, Aircraft Engineering, Mechatronics Engineering, Control and Automation Engineering, or a related field,
• Strong background in mathematics and physics,
• Good knowledge of flight mechanics, aerodynamics, flight dynamics, propulsion systems, flight control, and optimization methods,
• Solid understanding of control theory, system dynamics, and mathematical modeling,
• Experience or demonstrated interest in modeling, simulation, and system identification,
• Knowledge of the dynamics, control, and guidance methods of fixed-wing and multirotor unmanned aerial vehicles (UAVs),
• Experience with six-degree-of-freedom (6DoF) aircraft modeling and simulation,
• Strong interest in developing advanced autonomy systems,
• Proficiency in MATLAB/Simulink and C programming,
• Preferably experienced in aircraft system identification methods,
• Knowledge of linear and nonlinear control systems,
• Knowledge of Kalman filtering, GNSS, IMU, sensor fusion, and inertial navigation (INS) algorithms,
• Ability to approach complex analysis and modeling problems in a systematic and analytical manner,
• Strong teamwork and communication skills within R&D and product development environments.

Responsibilities

• Develop high-fidelity six-degree-of-freedom (6DoF) dynamic simulation models for fixed-wing and multirotor aircraft,
• Perform model verification, validation, calibration, and continuous model improvement activities,
• Identify and estimate model parameters using flight test data and system identification methods,
• Design flight test plans and test maneuvers for system identification activities,
• Process and analyze flight test data and investigate anomalies and special flight conditions observed during testing,
• Develop Hardware-in-the-Loop (HIL) simulation systems for aircraft software and hardware,
• Develop low-level and high-level flight control algorithms,
• Perform stability, controllability, and flight performance analyses and contribute to flight control system improvements,
• Develop guidance, navigation, and control (GNC) algorithms,
• Apply linear and nonlinear control methods to aircraft applications,
• Contribute to the software development processes of autopilot and embedded systems,
• Develop and implement sensor data processing, sensor fusion, and inertial navigation algorithms,
• Develop and implement Kalman filters and other state estimation algorithms,
• Collaborate with aerodynamics, aircraft performance, and flight control teams to validate and improve aerodynamic models,
• Develop aircraft stability and control analysis tools,
• Perform flight analysis and aircraft performance calculations and provide technical support to relevant engineering teams,
• Contribute to the development of numerical optimization, dynamic modeling, and system identification tools,
• Conduct software and hardware tests, analyze test results, and prepare technical reports,
• Support the planning and execution of flight test activities,
• Prepare and maintain technical documentation related to modeling and simulation activities.