Airbus, Internship within Aerodynamic Machine Learning

During this six months internship you will develop methods based on machine learning in order to obtain the pressure fields due to a gust event. You will compare the results versus the non-linear results. 

• Optimize the global design of Airbus products during the concept phases
• Build and develop methods to consider nonlinearities inside an Aeroelastic model
• Actively support us as a new member of our team on our journey.

• Enrolled full-time student (d/f/m) in the area of Engineering, Physics, Maths, Data science or an equivalent field of study.
• You have strong knowledge and experience in Aerodynamics and CFD.
• You have strong  knowledge and experience in coding using Python and/or Matlab.
• Knowledge and experience with training of machine learning models.
• You are passionate to understand physical aspects and to use your engineering judgment.
• Your English is at negotiating level whereas German language skills would be beneficial.