#UPLIFTYOURFUTURE

Wir sind über 12.000. An 18 Standorten weltweit. Jedes dritte Flugzeug fliegt mit unserer Technologie.
Immer effizienter, leiser, nachhaltiger. Wir gestalten die Zukunft der Luftfahrt. Was wir noch brauchen? Dich.

Unser Team in München sucht Dich:

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.

STARKE AUFGABEN

  • Familiarization with data-driven 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

BESTE VORAUSSETZUNGEN

  • 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 solution-oriented work approach, along with independent work organization

AUSGEZEICHNETES UMFELD

  • Einblicke in die Luftfahrtbranche und Jobs mit Verantwortung
  • Teamspirit u.a. durch Studi-Netzwerk & Events
  • Mentoring und individuelle Betreuung
  • Flexible Arbeitszeitmodelle mit mobilem Arbeiten
  • Kantine, Cafébar und Verkaufsshops
  • Sportkooperation mit EGYM Wellpass & Betriebssportgruppen
  • Top-Anbindung durch Pendlerbus, Parkhaus, E-Ladestation

STARTKLAR?

Dann gib Deiner Bewerbung Schub und schick uns Deine Unterlagen (Lebenslauf, Notenübersicht der Hochschule, Schulabschlusszeugnis sowie eine aktuelle Immatrikulation) online. Gleich jetzt, gleich hier.

Wir freuen uns auf Dich!

Bewerben