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