Masterthesis: Development of Data-driven Models and - Munich, Deutschland - MTU Aero Engines AG

MTU Aero Engines AG

Geprüftes Unternehmen

Munich, Deutschland

vor 2 Tagen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

#UPLIFT
YOURFUTURE

Over 11,000 People. 18 Locations worldwide. One in three planes files with our Technology.
Even more economical, lower in emissions and quieter. We shape the future of Aviation.

The only thing missing
:
You.

Our team in
Munich is searching for you:

Masterthesis:
Development of data-driven models and correlation methods for raw part quality assurance

Quality assurance methods play a central role in aviation. Decisions that significantly impact flight safety are made based on regularly measured (material) data. However, not all desired data are readily available. Strength-related parameters in the component itself, for example, can only be estimated based on reference samples.

The quality of the estimation is therefore significantly influenced by sample selection and the quality of prior information and assumptions.

With an increasing number of measured data points, it is not only possible to retrospectively review existing assumptions but also to continuously develop them.

The synthesis of data-driven and physically motivated approaches promises to make a substantial contribution to prediction accuracy. This thesis aims to scientifically and practically develop such approaches, outlining their possibilities and limitations.

TASKS

Familiarization with datadriven and physical material modeling
Development of suitable correlation methods to effectively and robustly estimate component properties based on existing tests
Implementation of robust statistical algorithms and mathematical error estimations
Validation with real datasets
Designing recommendations based on various scenarios
Independent evaluation, presentation, and documentation of results

REQUIREMENTS:

Studies in (Technical) Mathematics, Mechanical Engineering, Physics, Data Science, or a comparable field
Solid expertise in probability theory and statistics
Programming experience with Python is advantageous
Basic knowledge in the field of materials science is advantageous
High structured and analytical thinking with a willingness to address complex issues
Initiative and solutionoriented work approach, along with independent work organization

OUR OFFER

Insights into practical work in aviation as an innovative, hightech industry
Exciting jobs that carry responsibility and are performed in an atmosphere of team spirit
A personally assigned contact and individual support services
Flexible working hours and compensatory time off
Networking opportunities

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We are looking forward to getting to know you

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