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AIAirbus Operations GmbH

Master Thesis in Air & Thermal Systems Energy Management(m/w/x)

Hamburg
Full-timeInternshipWith Home Office

Data-driven modeling for aircraft air systems and pneumatic-electric architectures. Experience with large datasets and Machine Learning techniques preferred. 35-hour week, mobile working possible.

Requirements

  • Enrollment in a Master’s degree program in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, or relevant field
  • Strong theoretical background in thermodynamics, fluid dynamics, control systems, electrical power systems, and optimization methods
  • Practical knowledge of MATLAB/Simulink and/or Python for modeling, simulation, and data analysis
  • Good understanding of aircraft systems, particularly the Environmental Control System (ECS) and electrical power generation/distribution
  • Experience with large datasets and Machine Learning techniques for system identification or predictive control
  • Fluency in English (written and spoken)

Tasks

  • Develop data-driven models for aircraft air systems
  • Analyze energy demand across various flight phases
  • Investigate pneumatic-electric system architectures
  • Assess impact on aircraft energy consumption
  • Conduct trade-off analyses between performance and energy consumption
  • Implement optimization strategies in simulation environments
  • Evaluate potential fuel savings and system impact

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • MATLAB
  • Simulink
  • Python

Benefits

Flexible Working

  • Work-life balance with a 35-hour week
  • Flexible working hours
  • Mobile working possible

Other Benefits

  • Travel opportunities

Informal Culture

  • International environment

Modern Equipment

  • Modern technology

Team Events

  • Full team integration

Career Advancement

  • Networking opportunities
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