Internship Cross Module Digital Manufacturing & Process Optimization

As an intern in our Cross Module organization you will contribute to the optimization and digital transformation of manufacturing and maintenance-related processes in a high-tech semiconductor environment. Your responsibilities may include:

• Analyzing and optimizing manufacturing and operational processes to improve performance and efficiency

• Developing automated data analyses reports and dashboards using Python and MATLAB

• Supporting Digital Manufacturing and Industry 4.0 initiatives

• Identifying evaluating and implementing process improvement opportunities to enhance efficiency productivity and quality

• Assisting in the introduction and application of AI-based solutions within the manufacturing environment

• Driving the harmonization and standardization of processes workflows checklists and best practices

• Collaborating with cross-functional teams from Manufacturing Engineering Maintenance and IT

• Documenting project activities presenting findings and communicating results to stakeholders

Required Qualifications

• Enrolled student in Industrial Engineering Mechanical Engineering Electrical Engineering Computer Science Data Science Automation Engineering or a related field

• Strong analytical and problem-solving skills with an interest in manufacturing and process optimization

• Interest in data analytics automation digitalization and Industry 4.0 technologies

• Ability to work independently as well as collaboratively within interdisciplinary teams

• Good communication skills in English; German language skills are advantageous

Preferred Qualifications

• Initial experience with Python MATLAB or comparable programming languages is an advantage

• Basic understanding of AI machine learning or data-driven decision making is a plus

Information about our benefits you can find here: Experience:

Intern