GNC Engineer | Low-TRL R&D and Machine Learning

We are looking for a Guidance, Navigation and Control (GNC) Engineer to join an exploratory R&D project (TRL 2–4) in the Aerospace and Defence sector. This is an opportunity for someone who enjoys turning concepts into demonstrators, exploring new approaches, and working at the intersection of Advanced Control, Autonomous Systems, and Machine Learning .

What will you do?

• Design and develop GNC algorithms for launch vehicles, UAVs, and autonomous systems.
• Model vehicle dynamics, sensors, actuators, disturbances, and uncertainties.
• Design and tune control systems (LQR, gain scheduling, TVC/RCS) and explore robust techniques such as H∞, LQG, MPC, and μ-analysis.
• Develop navigation, state estimation, and sensor fusion solutions (INS/GNSS/vision).
• Apply Machine Learning to engineering problems, including:
• System identification;
• Anomaly detection;
• Monte Carlo campaign analysis;
• Optimization and controller design support.
• Define verification and validation strategies for low-TRL technologies.
• Build simulators, prototypes, and demonstrators to increase the technological maturity of the solutions developed.
• Present results, risks, limitations, and trade-offs to international teams and clients.

What are we looking for?

• Master's or PhD degree in Aerospace Engineering, Electrical Engineering, Mechatronics, Robotics, Physics, Applied Mathematics, or a related field.
• Practical experience in GNC applied to aerospace, defence, or autonomous systems.
• Strong knowledge of:
• Dynamic modelling;
• Classical and modern control;
• Stability and robustness analysis;
• Simulation;
• Kalman filters and sensor fusion.
• Proven experience applying Machine Learning to physical systems and engineering problems.
• Experience in R&D projects and technology development in exploratory, low-TRL environments.
• Proficiency in MATLAB/Simulink and Python.
• Advanced English proficiency (C1/C2).

Particularly valued:

• Experience with robust control, formal verification, and robustness analysis beyond Monte Carlo campaigns.
• Publications, theses, or research projects in GNC, AI, or autonomous systems.
• Experience with launch vehicles, UAVs, space systems, or defence applications.
• Experience with SIL, PIL, HIL, JSBSim, or FlightGear.
• Knowledge of Git, GitLab, CI/CD, and Agile methodologies.

📩 If you have experience in GNC, autonomous systems, or advanced control and are looking for a high-impact technological challenge, send us your application or get in touch to learn more