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Phd Student Customer Data Analytics & Ai

Germany, Wolfsburg · Job Posted July 11, 2025
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Job Description

Combine engineering science with cutting-edge AI to shape the dynamic world of electric drive systems and turn data into groundbreaking innovations! As part of the pre-development, we develop innovative drive concepts for battery-electric and hybrid vehicles. Our team focuses on the data protection-compliant collection, processing, and analysis of data from potentially all customer vehicles worldwide, utilizing scalable platforms with artificial intelligence technologies. The goal is to develop data-driven solutions to optimize vehicles. The PhD program involves developing an AI model to extract patterns from large-scale vehicle data.

Job Responsibility

  • Developing an AI model with semantic understanding of vehicle data using state-of-the-art models or methods
  • Evaluating and testing various solution concepts for the 'virtual customer base'
  • Conducting in-depth analyses of vehicle data to answer a wide variety of engineering questions, as well as preparing and presenting results for various stakeholders
  • Optimizing the handling of big data on scalable platforms

Requirements

  • Good to very good university degree qualifying for doctoral studies in the field of computer science or engineering disciplines
  • Very good programming skills (especially Python)
  • Practical experience in the field of artificial intelligence (AI)
  • Experience with big data and scalable systems (e.g., Apache Spark) would be helpful
  • Independent and structured working style
  • High level of motivation
  • English language level B2

Nice to have

Experience with big data and scalable systems (e.g., Apache Spark)

What we offer

  • Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
  • 35-hour week, flexible working hours, remote work
  • Special conditions for the purchase and leasing of vehicles
  • Free seminars on scientific work and interdisciplinary qualifications
  • Participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

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