Working environment

In the Volkswagen Group, you will work in the area of production planning in a highly motivated team that deals with sustainable, strong production in the Group. With our expertise and specialist knowledge, we create a cross-brand exchange and develop cost-optimal solutions. The result is coordinated requirements for production, which we secure in corporate committees. You can expect an interesting and forward-looking field of employment. You will also have the opportunity to get to know the Volkswagen Group at the Wolfsburg site and gain experience in the automotive industry in parallel to your internship. In the "New Technologies" team, we develop new processes from finding ideas in the technology pre-development process to the technology development process and implementing them in series production, and then also provide technological support. This also includes the welding control systems that guide the process and new digital technologies and systems that make it possible to evaluate the data obtained from the welding process and feed it back into the process. We are the point of contact for all technological questions regarding the welding process for our process partners in body construction and product planning, the plants and development. The final topic for obtaining the Master's degree will be defined together with the professor. The prerequisite for cooperation is the confirmation of supervision and a confirmed definition of topics by the professor.

Possible Tasks within this Role

• Identification of rationalization potentials by analyzing and evaluating process data of resistance spot welding

• Evaluation of data by means of machine learning, based on process data, taking into account the current state of science

• Testing of new process strategies through practical welding tests in the laboratory and under series conditions

• Imparting expert knowledge with Design Language Model Assistants (LLM) in all areas of production

Qualification requirements

• Master's students in the fields of electrical engineering, computer science, mechanical engineering, materials engineering, data science or comparable field of study

• Very good to good academic performance

• Programming skills e.g. Python, R, C++

• Initial experience in the field of artificial intelligence is desirable

• Strong problem-solving skills and willingness to develop innovative ideas

• Clear thinking skills and the ability to understand complex relationships

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,

• In the case of a compulsory internship, a certificate from the university is also required

• Work permit for non-EU citizens

Keywords

Intelligent automation