PhD candidate in AI for product innovations at MAHLE in Stuttgart, focusing on multi-source data integration and development of scalable AI frameworks. Collaborating with industry partners for automotive applications.
Responsibilities
A three-year, individually tailored doctoral program in the Project House for Software and Data
Conducting a PhD in the area of AI frameworks for multi-source data integration to support product innovations in automotive development
Development of a scalable AI framework that combines 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 / predictive maintenance), white-spot identification (detecting innovation gaps) and digital product innovation
Intensive research and development work carried out in close cooperation with industry partners and research organizations
Competent supervision from the specialist department, talent development and the university
Early discussion of potential career opportunities within the company
Requirements
Excellent completed university degree in Computer Science, Data Science, Business Informatics or a comparable program 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
Very good German and English language skills, both written and spoken
Independent scientific working methods, flexibility, teamwork, structured thinking and commitment
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