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Everllence
8d ago

Thesis: Modeling Aerodynamic Excitations and Damping for Intentionally Mistuned Blisks(m/w/x)

Augsburg
Full-timeOn-site
AI/ML

Description

You will tackle industrial turbomachinery challenges by modeling aerodynamic excitations, using everything from CFD simulations to machine learning to extend component lifetimes.

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Requirements

  • Master’s student in Mechanical Engineering, Aerospace Engineering, or comparable field
  • Experience with CFD simulations
  • Basic knowledge of turbomachinery (desirable)
  • Basic knowledge of Python (advantageous)
  • Interest in machine learning (advantageous)
  • Strong analytical skills
  • Interest in interdisciplinary topics

Education

Currently in higher education

Tasks

  • Analyze aerodynamic excitation using CFD simulations
  • Investigate operating conditions and geometric variations
  • Develop efficient aerodynamic modeling approaches
  • Apply data-driven methods to support development
  • Combine CFD and aeroelastic research methods

Tools & Technologies

NUMECA FineTurboANSYS CFXPython

Languages

EnglishBusiness Fluent

Benefits

Free or Subsidized Food

  • Canteen

Additional Allowances

  • Meal allowance

Other Benefits

  • Accessibility
  • Women’s network

Healthcare & Fitness

  • Workplace health management
  • Company doctor
  • Gym

Parking & Commuter Benefits

  • Parking
  • Good transport links

Corporate Discounts

  • Employee discounts

Startup Environment

  • Student network
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