Environment

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. 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

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

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,
• Work permit for non-EU citizens

Keywords

Simulation Modelling, Productivity Management, CIP (Continuous Improvement Process)

Environment

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. 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

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

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,
• Work permit for non-EU citizens

Keywords

Simulation Modelling, Productivity Management, CIP (Continuous Improvement Process)