MAHLE

PhD Candidate, AI Framework for Data-Driven Product Innovation

MAHLE

full-time

Posted on:

Location Type: Office

Location: Stuttgart • 🇩🇪 Germany

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Job Level

Mid-LevelSenior

Tech Stack

IoT

About the role

  • A three-year, individually tailored doctoral program within the Project House Software and Data
  • Conduct a PhD in the field of AI frameworks for multi-source data integration to support product innovations in automotive development
  • Develop 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)
  • Apply 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 organizations
  • Competent supervision from the relevant department, talent development team and the university
  • Early discussion of potential career opportunities within the group

Requirements

  • Outstanding 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 skills, both written and spoken
  • Independent scientific working style, flexibility, team orientation, structured thinking and commitment
Benefits
  • Outstanding 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 skills, both written and spoken
  • Independent scientific working style, flexibility, team orientation, structured thinking and commitment

Applicant Tracking System Keywords

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

Hard skills
AI frameworksmulti-source data integrationpredictive analyticsdata analysisinnovation managementmachine learningdatabasesdigital product innovationIoT telemetrymarket APIs
Soft skills
independent scientific workingflexibilityteam orientationstructured thinkingcommitment
Certifications
PhD