Internship AI-based interactive aerodynamic design (f/m/d)

Environment

Internship in the field of AI-based interactive Aerodynamic Design at Volkswagen Group Innovation Wolfsburg. Computational Fluid Dynamics (CFD) methods are indispensable for evaluating the aerodynamic properties of vehicles. Despite state-of-the-art supercomputers, the computing times required for performing CFD are in the order of several days. For this reason, Group Innovation is currently developing AI/Deep learning methods capable of real-time aerodynamic evaluations. It is required for you to come to the office so a complete remote option is not possible. We would like to have an internship period of at least 6 months.

Possible roles of the role

• Work in developing and refining Deep Learning models
• Couple our codebase with a GUI to enable easy model training and evaluation
• Develop tests and implement automation workflows
• Support in the evaluation of Deep Learning models
  
  

Qualification Requirements

• Student of Data Science, Computer Science, Computational Engineering or a comparable field of study
• Good to very good academic performance
• Enjoy programming in Python with hands-on experience using PyTorch
• Solid understanding of version control, proficiency in using Git/GitHub
• Comfortable working in a Linux environment and familiar with command-line tools
• Experience with Bash scripting, Docker, GitHub Actions, writing tests, or setting up automations is a significant advantage
• English Level B2
  
  

The following documents must be submitted with the application

• Curriculum vitae
• Current certificate of enrolment
• Current transcript of records In the case of a compulsory internship,
• An additional certificate from the university
• Work permit for non-EU citizens
  
  

Contact person for this posting: Brigitte Adam-Huth