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PhD Student AI Application Energy Management

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Volkswagen AG

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Location:
Germany , Wolfsburg

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

PhD position at the intersection of energy economics and artificial intelligence, working on data-driven methods including AI-supported forecasting models for electricity prices, consumption, and generation; intelligent planning of storage and power-to-X systems; simulation of energy market scenarios; and evaluation of flexibility options in e-mobility

Job Responsibility:

  • Analyzing and assessing the tangible value of AI applications in addressing current challenges in the energy sector
  • Designing and testing innovative AI approaches to solve complex energy-related problems
  • Identifying new fields of application for AI – from electricity price forecasting to evaluating flexibility in e-mobility
  • Developing a comprehensive concept for the strategic use of AI in energy-related processes
  • Taking ownership of practical digitalization and AI projects and supporting their integration into operational workflows

Requirements:

  • Good to very good university degree qualifying for doctoral studies in computer science, engineering, mathematics or a comparable qualification
  • Solid knowledge in data analysis, statistics and AI methods, especially machine learning and deep learning
  • Understanding of energy market structures and dynamics is desirable
  • Strong initiative, team orientation and a structured working style
  • English language level B2 and German language level C1

Nice to have:

Understanding of energy market structures and dynamics

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

Additional Information:

Job Posted:
August 30, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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