Scientific tests in the Audi

Academic Cooperation

Cooperation with scientific institutions contributes in important ways to achieving the strategic goals of AUDI AG. It is particularly important in this context to understand our partnerships with scientific institutions as exceptional relationships that secure the future of AUDI AG and that require special rules and standards for transparent, fair and honest cooperation.

Forms of Cooperation

The forms of cooperation are diverse. Examples of this include joint research projects in which scientists research future topics relevant to Audi. Audi also supports employees who are involved in teaching and who consequently give students an insight into industrial practices.


Furthermore, Audi promotes research and teaching at colleges and universities by endowing professorships. Examples of other forms of cooperation include student projects, public funding projects, theses, the Audi doctorate program, sponsorships, entrepreneurship, etc.

PhD student configuring testing device in the backseat of an Audi

Research projects with PhD students

Young academics cooperate with colleges and universities to conduct research on technical and non-technical topics of the future.

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Vehicle chassis in the workshop

Automotive Initiative 2025

AI25 sees itself as a leading innovation and competence network. The partners share the conviction that the digital transformation can best be advanced through working together and in a powerful ecosystem of companies and scientific institutions.

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Christian von Deimling

(© Universität der Bundeswehr Munich, Foto: Press, Editing: Nietsch)

Endowed professorship procurement

Christian von Deimling


Universität der Bundeswehr München, Faculty of Economics and Organizational Sciences, General Business Administration, in particular Procurement and Supply Management

Jürgen Bock

(Photo: photoresque)

Endowed professorship AI methods in production

Jürgen Bock


Technische Hochschule Ingolstadt, Faculty of Industrial Engineering and Management, AI Applications in Innovative Production and Logistics Systems

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