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.SIEBERT@MAHLE.COM
+49 711 501-14718