#UPLIFTYOURFUTURE

Over 12,000 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

Code - D MUC AESR

TASKS

• 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

 REQUIREMENTS

• 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

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

• Munich
• Fixed-Term
• Full-time

YOUR PROFILE

• 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

YOUR TASKS

• 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

OUR OFFER

• Insights into practical work in aviation as an innovative, high-tech 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

READY?

Give your career a boost and send us your complete application (CV, Transcript of Records, High School Diploma).

We are looking forward to getting to know you!

Interested?

Recruitingteam

Category: Engineering, Final Project / ThesisContract: Fixed-TermDepartment: AESRType: Full-time