PhD AI Framework for Data Driven Product Innovation
vor 1 Woche
Your Contribution
- A three-year, individually designed doctoral (PhD) program in the Group's advanced engineering department
- PhD program in the field AI frameworks for multi‑source data integration to support product innovations in automotive development
- Development of a scalable AI framework that integrates internal data (production, sales, after‑sales feedback) with external sources (social media, communities, market APIs, IoT telemetry, partner data)
- Application of methods such as predictive analytics (e.g., preventive failure prediction), white‑spot identification (detecting innovation gaps), and digital product innovation
- Intensive research and development work in close collaboration with industry partners and research institutions
- Professional supervision from the specialist department, talent development, and the university
- Early discussions of potential career opportunities within the company
Your Experience and Qualifications
- Excellent university degree (Master or comparable) in Computer Science, Data Science, Business Informatics, or a comparable field with a focus on AI / Machine Learning
- Knowledge of artificial intelligence, databases, and data analysis
- Experience in innovation management, particularly in identifying innovation gaps (white spots) to predict risks and improve products
- Excellent English and fluent German skills
- Ability to work independently in a scientific environment, flexibility, teamwork skills, structured thinking, and strong commitment
#TeamMAHLE is diverse and we see that as a great advantage We welcome applications with diverse experiences, backgrounds and identities.
Do you have any questions?
LISA..COM
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