Volkswagen - Working student - AI-driven process planning generative artificial intelligence

Deadline: As soon as possible

Internships

Companies

Location(s)

  • Germany
Wolfsburg

Overview

As a working student in Group Industrial Engineering at Volkswagen, you will be part of an innovative team that develops advanced methods of production and process planning and implements them worldwide.

Details

You will work on AI-based solutions for autonomous process planning for real vehicle projects. A dynamic, interdisciplinary environment awaits you, where your ideas are welcome and you can help shape technological innovation. Your personal and professional development will be promoted through close cooperation with experienced experts.

Possible Tasks within this Role

  • Support in data preparation, training, and application of generative AI models for process planning
  • Assisting in the prototypical implementation and evaluation of algorithms for process optimisation
  • Participate in the application of AI solutions in real vehicle projects and analyse the results
  • Collect and evaluate user feedback to further develop existing AI agents and contribute to the design of new solutions

Volkswagen - that's why

We want to revolutionize and shape the mobility of tomorrow sustainably. For this purpose, we are looking for talents who are willing to break completely new ground with us and are not afraid to make mistakes. We are looking for personalities who want to achieve something extraordinary. And talents who believe in the innovative power of big ideas. Are you in

Opportunity is About


Eligibility

Candidates should be from:


Description of Ideal Candidate

Qualification requirements

  • Students of business informatics, industrial engineering, industrial engineering, or a comparable qualification
  • Basic knowledge of data analysis, statistics, machine learning, and artificial intelligence is an advantage
  • Interest in mathematical optimisation and operations research
  • Willingness to familiarise yourself with ergonomic and production-related topics
  • First practical experience with programming languages such as Python, R, Matlab or comparable tools is desirable

Dates

Deadline: As soon as possible


Cost/funding for participants

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