Master student in the field of systems engineering (d/f/m), Hamburg

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.

Tasks

• A conservative Electrical Load Analysis (ELA) typically considers "worst-case" installed power values across all Air Transport Association (ATA) chapters, leading to significantly oversized generators and wiring gauges. This deterministic approach ignores the stochastic and time-variant nature of actual operational loads, which are driven by flight phases (Ground, Taxi, Cruise) and the non-coincident behavior of passengers and crew.
  
• The goal of this thesis is to develop a simulation environment to estimate realistic operational loads in an aircraft cabin. By integrating behavior-based stochastic modeling with electric system simulations, the candidate shall identify optimization potentials within the cabin electrical architecture, specifically targeting the power distribution architecture and the primary power generation units. This research aims to deliver a validated simulation tool for generating mission-specific operational power profiles, a comparative analysis between conventional "Installed Power Sizing" and "Operational Sizing", and specific architectural recommendations for reducing secondary distribution wiring weight through intelligent peak demand management.

Profile

• Enrolled full-time student (d/f/m) in​ electronics, mechatronics, aerospace or equivalent engineering studies.
• Good understanding of Power architecture and electrical system architecture.
• Good understanding of physical integration of electrical systems.
• Good understanding of (physical) systems simulation practices.
• Tools: Matlab, Matlab Simulink, Python or other Modeling and Simulation Frameworks.
• English fluently; good German skills appreciated.