Modelling & Simulation Engineer – UAV Flight Systems

About us:

next-generation UAV platforms

Key responsibilities:

• Build MATLAB/Simulink models for 6-DOF aircraft dynamics, stability, and control.
• Predict UAV performance metrics including range, endurance, climb rate, and payload versus energy trade-offs.
• Simulate extreme flight conditions and identify system-level failure points.
• Model electric propulsion systems including battery discharge, thermal limits, and motor-propeller interactions.
• Develop power budgets and simulate efficiency across flight profiles.
• Analyse energy management strategies to optimise endurance and payload performance.
• Model sensor and actuator behaviour in closed-loop dynamics.
• Support design and verification of control laws, autopilot logic, and stability augmentation.
• Simulate failure cases such as sensor dropouts, actuator faults, and degraded avionics performance.
• Assess UAV behaviour under varying altitude, temperature, and density conditions.
• Model cooling and environmental control system performance.
• Correlate simulations with ground and flight test data.
• Prepare simulation reports for gated reviews (PDR, CDR, TRR).
• Maintain documentation and data discipline, ensuring all assumptions and results are traceable.

Required Qualifications:

• Bachelor’s/Master’s in Aerospace Engineering, Flight Dynamics, or Systems Engineering.

• 5–10 years

   of experience in flight dynamics, performance, or systems simulation.
• Proficiency in 

  MATLAB/Simulink

   (mandatory).
• Experience modelling 

  aero, propulsion, avionics, and power systems

   at aircraft level.
• Strong grounding in 

  stability & control, energy systems, and failure case analysis

  .
• Exposure to 

  Monte Carlo or probabilistic methods

   for extreme-case simulations.
• Familiarity with 

  HIL/SIL simulation frameworks

   a plus.

Preferred Attributes:

• Deep fundamentals in flight physics and system interactions.
• Strong documentation discipline — every model, assumption, and result treated as a controlled artefact.
• Ability to integrate across disciplines: aero, propulsion, avionics, energy.
• Hands-on approach: from MATLAB scripts to test correlation.
• Comfortable working in a 

  startup-style aerospace R&D environment

  .