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PhD Student AI Simulation

https://www.volkswagen-group.com Logo

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:

At Volkswagen Group Innovation, we develop AI based tools to accelerate key steps in virtual product development. We work closely with our future transfer partners within the Group brands. The creation and evaluation of 3D geometry through load case simulations represent a significant share of the overall development workload. The use of generative AI and neural surrogate models offers tremendous potential for process acceleration. If you are excited about unlocking this potential within the context of an industrial PhD program, we look forward to receiving your application.

Job Responsibility:

  • Building a comprehensive database consisting of real and synthetic CAD/CAE models
  • Enhancing AI models for the multimodal generative creation of CAD structures
  • Enhancing AI models for the performance prediction of load cases
  • Demonstrating the effectiveness of the developed methods using practical examples

Requirements:

  • Good to very good university degree qualifying for doctoral studies in mechanical engineering, computer science, or a comparable discipline
  • Very good programming skills, especially in Python, shell scripting, PyTorch, TensorFlow, and CUDA
  • Very good knowledge of computer aided design (CAD), particularly CATIA
  • Good knowledge of software development environments such as Linux, Git, and Jira
  • German or English language level C1
  • Independent and structured working style
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

Additional Information:

Job Posted:
February 28, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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