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As a PhD candidate in our program, you will have the unique opportunity to join a highly innovative team within the Corporate Industrial Engineering division of the Volkswagen Group. Our department plays a key role in the development and implementation of advanced methodologies applied across the entire product lifecycle. You will be actively involved in the networking and methodological support of over 15,000 industrial engineers, planners, and production optimization experts at more than 120 production sites worldwide. The methods we develop are integral to various stages of the product development process - from ideation in 3P workshops and continuous improvement (CIP) in the series production phase to comprehensive productivity management. This provides you with an excellent platform to research and develop innovative solutions in the field of autonomous process planning using artificial intelligence. As a member of our team, you will work in an inspiring, interdisciplinary environment that fosters not only your technical development but also your personal growth through collaboration with leading experts across various domains. We place great value on creativity and the exchange of ideas to continuously push the boundaries of what is possible.
Job Responsibility:
Developing and training a generative AI model for automated process planning, including the mathematical modeling of requirements in assembly line balancing problems and linking with mathematical optimization methods
Creating AI algorithms: Designing and programming advanced algorithms to optimize manufacturing processes in close coordination with the IT department
Implementing pilot projects: Executing and evaluating pilot projects at selected production sites to validate the developed methods
Collaborating with industry experts: Regular exchange and collaboration with industrial engineers and process planners to tailor solutions to specific needs
Documenting and presenting results: Preparing research findings for internal stakeholders and for presentation at scientific conferences
Requirements:
Good to very good university degree qualifying for doctoral studies in Computer Science, Information Systems, Industrial Engineering, or a related field
Solid expertise in data analysis, statistics, machine learning, and artificial intelligence
In-depth knowledge in the field of operations research and mathematical optimization
Practical experience with programming languages such as Python, R, MATLAB, or similar tools for implementing AI models and optimization algorithms
English language level B2 and German language level C1
Strong team spirit, commitment, and initiative
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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