Internship - Cross Module Digital Manufacturing & Process Optimization in Dresden Internship - Cross Module Digital Manufacturing & Process Optimization

Please apply here on "MINTbund.de" using the "Apply" link/button at the top right.

Note: Please apply exclusively via our direct application link hosted by Empfehlungsbund and MINTbund.de: . We look forward to getting to know you!

About GF

GlobalFoundries® Inc. (GF®) is one of the world's leading semiconductor manufacturers. GF redefines innovation and semiconductor manufacturing by developing and delivering feature-rich process technology solutions with leading performance in all growth markets. GF offers a unique mix of design, development and manufacturing services. With a talented and diverse team and manufacturing locations in the U.S., Europe and Asia, GF is a trusted technology provider to its global customers. GF employs approximately 13,000 people, including more than 3,000 in Dresden, Germany.

For more information, visit hier .

Your Job

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: hier