PhD Student AI simulation of electric drive (f/m/d)

at  Volkswagen

PHD STUDENT AI SIMULATION OF ELECTRIC DRIVE (F/M/D)

Job ID: 7175
Company: Volkswagen AG
Location:Kassel, DE, 34123
Department: Research and Development
Career Level: PhD students
Working Model: Full-time
Contract Type: Fixed-term
Remote Working: Up to 80%
Posting Date: Jun 18, 2024

QUALIFICATION REQUIREMENTS

• Good to very good university degree with eligibility for a doctorate in mechanical engineering, mechatronics, automotive engineering, technomathematics, physics or comparable courses
• Knowledge of and interest in virtual development, artificial intelligence, dynamics and multi-body simulation
• Very good knowledge of Matlab and Python
• You have business-fluent knowledge of German and English (B2)
• Your personal strengths include an analytical, solution-oriented and structured way of working
  At Volkswagen, we value an inclusive and diverse culture. We offer a trustworthy environment because we live up to our corporate principles.
  Responsibility – Sincerity – Courage – Diversity – Pride – Cohesion – Reliability
  The future of mobility is changing. What do we contribute to this? Volkswagen produces vehicles in 14 countries and delivers them to customers in more than 150 markets worldwide. Electromobility, smart mobility and digital transformation are our core topics for the future. For many millions of people, Volkswagen is the epitome of mobility – not only today, but also tomorrow. Become part of it and help develop new solutions with your curiosity and ideas. You can expect a diverse team that supports you and with whom you can grow together and develop your potential.
  Questions about this position can be answered by Fabian Wenzel at fabian.wenzel@volkswagen.de

QUALIFICATION REQUIREMENTS

• Good to very good university degree with eligibility for a doctorate in mechanical engineering, mechatronics, automotive engineering, technomathematics, physics or comparable courses
• Knowledge of and interest in virtual development, artificial intelligence, dynamics and multi-body simulation
• Very good knowledge of Matlab and Python
• You have business-fluent knowledge of German and English (B2)
• Your personal strengths include an analytical, solution-oriented and structured way of working
  At Volkswagen, we value an inclusive and diverse culture. We offer a trustworthy environment because we live up to our corporate principles.
  Responsibility – Sincerity – Courage – Diversity – Pride – Cohesion – Reliability
  Job ID: 7175
  Company: Volkswagen AG
  Location:Kassel, DE, 34123
  Department: Research and Development
  Career Level: PhD students
  Working Model: Full-time
  Contract Type: Fixed-term
  Remote Working: Up to 80%
  Posting Date: Jun 18, 2024

VOLKSWAGEN - THAT’S WHY

We want to revolutionize and shape the mobility of tomorrow sustainably. For this purpose, we are looking for talents who are willing to break completely new ground with us and are not afraid to make mistakes. We are looking for personalities who want to achieve something extraordinary. And talents who believe in the innovative power of big ideas. Are you in?
Go to our career website

POSSIBLE TASKS WITHIN THIS ROLE

• Preparation of manufacturing tolerances and expansion of existing multi-body simulation models of electric drivetrains
• Definition of parameter spaces and identification of useful variants
• Optimization of the models with regard to computing time
• Recognizing correlations between the applied parameter space and results as well as pattern recognition with the help of AI methods
• Deriving suggestions for determining permissible tolerances in order to avoid acoustic phenomena or comply with limit curves
  The final doctoral topic is defined together with the professor (f/m/d). The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor (f/m/d) of a university or research institution entitled to confer a doctorate.

POSSIBLE TASKS WITHIN THIS ROLE

• Preparation of manufacturing tolerances and expansion of existing multi-body simulation models of electric drivetrains
• Definition of parameter spaces and identification of useful variants
• Optimization of the models with regard to computing time
• Recognizing correlations between the applied parameter space and results as well as pattern recognition with the help of AI methods
• Deriving suggestions for determining permissible tolerances in order to avoid acoustic phenomena or comply with limit curves
  The final doctoral topic is defined together with the professor (f/m/d). The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor (f/m/d) of a university or research institution entitled to confer a doctorate.