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In the team 'Digital & AI Technologies', we shape the automotive production and logistics of tomorrow through innovative digital solutions. Current focus areas include industrial AI technologies such as AI Prediction & Optimization and AI-based robotics, with the aim of enabling the autonomous control of complex systems in production using Physical AI Agents. The doctoral candidate will focus on these areas to develop and validate new concepts in production while contributing to department innovation in a modern and agile working environment.
Job Responsibility:
Identifying potential application areas of Physical AI Agents / AI Robotics for systematically realizing cost-saving potentials in manufacturing
Investigating technological options (Reinforcement Learning, Large Action Models, etc.) and developing guidelines for the level of autonomy of AI
Developing a comprehensive concept for the use of Physical AI Agents in production and validating it based on concrete use cases
Leading practical digitalization and AI projects in production and scouting the latest technologies in the context of Industry 4.0
Contributing to the further development of the department in an agile team and in a modern work environment
Requirements:
Good to very good university degree qualifying for doctoral studies in the fields of (industrial) engineering, (industrial) computer science, or a comparable field of study
In-depth knowledge in the field of artificial intelligence (expertise in a specific area such as AI Agents and AI Robotics is an advantage)
Practical experience in the field of production and logistics (e.g., as a research assistant, working student, or through internships) is desirable
Enjoyment in working on complex issues
Experience in project management
Business-oriented thinking and acting, with high motivation and commitment
Strong team and communication skills, including intercultural competence
German or English language level C1
Nice to have:
Expertise in a specific area such as AI Agents and AI Robotics
Practical experience in the field of production and logistics (e.g., as a research assistant, working student, or through internships)
What we offer:
Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
Special conditions for the purchase and leasing of vehicles
Free seminars on scientific work and interdisciplinary qualifications
Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group
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