PhD Student AI-driven Global Customer Feedback And Decision-making Platforms (f/m/d)
Indexed description
Possible Tasks within this Role
- Developing and evaluating scientific methods for analyzing and harmonizing global customer feedback and product data
- Researching multi-agent systems that support complex product development and decision-making processes
- Designing AI-based approaches for identifying regional customer preferences, market-specific requirements, and best practices
- Validating AI-generated recommendations against assessments from domain experts across different markets
- Publishing scientific results and transferring research findings into prototype applications and real-world use cases
Qualification Requirements
- Good to very good university degree qualifying for doctoral studies in Computer Science, Artificial Intelligence, Data Science, Information Systems, Industrial Engineering, or a comparable field of study
- Knowledge of Machine Learning, Generative AI, Multi-Agent Systems, or related technologies
- Experience in data analytics, statistics, software development, or the design of data-driven systems
- Strong interest in scientific research and the application of advanced AI technologies to real-world challenges
- German and English language level C1
- Strong analytical and conceptual thinking skills
- High degree of initiative and scientific curiosity
- Excellent communication skills and enthusiasm for international and interdisciplinary collaboration
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
Contact person for this posting: Fabian Wenzel
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