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Master Thesis in Air & Thermal Systems Energy Management(m/w/x)
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
- English – Business 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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Master Thesis in Air & Thermal Systems Energy Management(m/w/x)
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
- English – Business 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
About the Company
Airbus Operations GmbH
Industry
Aerospace
Description
Das Unternehmen setzt sich für Vielfalt und ein inklusives Arbeitsumfeld ein.
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