MAHLE

PhD Candidate in AI for Product Innovations

MAHLE

full-time

Posted on:

Location Type: Office

Location: Stuttgart • Germany

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Tech Stack

IoT

About the role

  • 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
Benefits
  • Benefits: DEstu/FH_PE_AP_DC_TR_MA_SP_DI_RE
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI frameworksmulti-source data integrationpredictive analyticspreventive failure predictionpredictive maintenancedata analysisinnovation managementdatabasesMachine Learningdigital product innovation
Soft Skills
independent scientific working methodsflexibilityteamworkstructured thinkingcommitment