PhD Student AI-powered application (f/m/d) at Volkswagen
34119 Kassel, , Germany -
Full Time


Start Date

Immediate

Expiry Date

26 Sep, 25

Salary

0.0

Posted On

26 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mechatronics, Reinforcement Learning, Pulse, Software, Computer Science

Industry

Information Technology/IT

Description

WORK ENVIRONMENT

At Volkswagen Group Components, we are turning vision into reality: We are bringing the future into series production. To make this happen, Volkswagen AG is investing around six billion euros in electromobility over the next five years. Our division “E-Drive Development, Power Electronics & Transmission” at the Kassel, Wolfsburg, and Gaimersheim sites plays a key role in this transformation. We are responsible for the group-wide development of all future pulse inverters (PWR) for electric drives – a core component of tomorrow’s mobility. We are shaping the mobile future by consistently turning our innovations into economically viable products and continuously improving existing ones. Join our team and help shape the mobility of tomorrow!

QUALIFICATION REQUIREMENTS

  • Good to very good university degree qualifying for doctoral studies in computer science, mechatronics, electrical engineering, or a comparable field
  • Knowledge and interest in pulse inverter development, with a focus on software and application
  • Solid experience with neural network models, including supervised learning and reinforcement learning
  • High level of personal commitment and results orientation, with the ability to independently drive projects and achieve goals
  • Strong analytical thinking, teamwork skills, and initiative
  • Experience in function development in automotive or related fields
  • German and/or English language level B2
Responsibilities
  • Creating an AI-based framework for optimizing thermal models in vehicles
  • Developing simulation models and methods for aligning with real-world data
  • Validating models and optimizing both efficiency and accuracy
  • Reducing testing efforts and validation time
  • Collaborating with the pulse inverter development team, especially with the application team and the simulation department, in coordination with CARIAD’s software development
    The final doctoral topic is defined together with the professor. The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor of a university or research institution entitled to confer a doctorate.
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