PhD Student Chassis Control Systems, Volkswagen AG

PhD Student Chassis Control Systems

Volkswagen AG

Location:
Germany, Wolfsburg

Category:
Research and Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

PhD position in chassis control systems focusing on developing AI-based functions for vehicle dynamics control. Opportunity to work on groundbreaking projects with latest technology in automotive industry while pursuing doctoral research.

Job Responsibility:

Developing hybrid machine learning methods to ensure Volkswagen specific driving control for assisted and automated driving
Considering system influences such as component diversity, aging effects, and usage characteristics over time in adaptive driving control systems using ML techniques
Providing and analyzing data from test drives and fleet operations for virtual system development
Identifying potential for safe AI integration into current vehicle dynamics control systems and securing neural network outputs in safety-critical applications
Defining a robust toolchain and algorithmic framework for virtual validation, including the consideration of external influences

Requirements:

Good to very good university degree with a doctorate qualification and a major in control engineering, automotive engineering, data science, or comparable courses of study
Good programming skills in Python and Matlab
Practical experience in the field of machine learning, especially reinforcement learning
Practical experience with the design of controllers such as MPC (Model Predictive Control)
Interest in scientific work and interdisciplinary cooperation
High level of personal commitment as well as teamwork and communication skills
Structured and reliable way of working
German and English language level B2

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 22, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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