About the role
- Understanding the full flight envelope and flight mechanics of eVTOL / tilt-rotor aircraft through simulation and study.
- Assisting in the development and analysis of control laws for various flight phases including hover, transition, and fixed-wing cruise.
- Running MATLAB/Simulink simulations to evaluate control system performance, stability margins, and robustness.
- Supporting flight dynamics modelling, including aerodynamics, stability, and control surface characterization.
- Learning to implement and evaluate different control algorithms (PID, LQR, H-infinity, adaptive, etc.) and understand trade-offs.
- Participating in hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing activities.
- Assisting in the preparation of technical documentation, analysis reports, and simulation results.
- Collaborating with cross-functional teams including avionics, software, and structures to understand integrated system behaviour.
- B.E. / B. Tech or M.E. / M. Tech in Aerospace Engineering, Aeronautical Engineering, Electrical Engineering (Control Systems), or a closely related discipline.
- Strong academic record with coursework in control systems, flight dynamics, or related subjects.
- Strong theoretical understanding of classical and modern control system design — including PID, state-space methods, root locus, Bode analysis, and pole placement.
- Familiarity with flight dynamics fundamentals: equations of motion, aerodynamic coefficients, stability derivatives, trim and linearization.
- Working knowledge of MATLAB and Simulink for system modelling and simulation.
- Basic understanding of linear systems theory: controllability, observability, state estimation (Kalman Filter concepts).
- Curious, self-driven, and eager to learn in a fast-paced aerospace startup environment.
- Good analytical and problem-solving skills with attention to detail.
- Able to communicate technical ideas clearly, both written and verbal.
- Team player who can collaborate effectively across disciplines.
- Comfortable with ambiguity and motivated by the challenge of solving novel engineering problems.