PhD Student - Identification of a holistic optimum charging strategy for BEV considering renewable energies and charging flexibility (m/f/d)


PhD Student - Identification of a holistic optimum charging strategy for BEV considering renewable energies and charging flexibility (m/f/d)

Software Engineering

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We are CARIAD, an automotive software company and part of the Volkswagen Group. Our mission is to make the automotive experience safer, more sustainable, more comfortable, more digital, and more fun. Soon, we'll be a team of more than 5,000 software developers and engineers, building the leading tech stack for the automotive industry and creating a unified software platform for over 10 million new vehicles per year.

We’re looking for talented, digital minds like you to help us create code that moves the world. Together with you, we’ll build outstanding digital experiences and products for all Volkswagen Group brands that will transform mobility. Join us as we shape the future of the car and everyone around it.


The purpose of our PhD Program is to promote innovative topics that are relevant to CARIAD. We cooperate with top universities and bring new research projects to life. Our PhD candidates get the opportunity to develop and implement innovative ideas in their projects for CARIAD and the respective scientific field. The PhD projects are accompanied by a supervisor and a dedicated CARIAD mentor. Essential trainings are provided for the PhD candidates to complete the PhD Program.

For the "Charging & Energy" department, we are looking for a PhD student to work on the project “Smart network preserving load management & energy platform”. The departments focus on software & algorithms used in the car and car-backend to create the digital charging experience for users of the Volkswagen cars.


  • Research the state of development of EV charging and consolidate the current state of field trials in predevelopment projects across the VW group
  • Analyze and simulate use cases for different scenarios for the charging strategy
  • Identify a holistic optimum charging strategy (ie. utility analysis)
  • Design and implement prototypes to validate the concept 
  • Conduct field trials under real life conditions to validate the functionalities


  • Completion of Master's degree in: mechanical engineering, computer science, industrial engineering, electrical engineering or equivalent field
  • Knowledge of renewable energy systems, smart grids and electric vehicles (related to charging)
  • Familiarity in conceptualizing and prototyping of mechatronic systems
  • Knowledge in simulation and familiarity with Matlab, python or relevant programming language 
  • Experience working with algorithm design to solve optimization problems
  • Pro-active mindest and structured working style 
  • Fluent (written and verbal) in English. German would be highly beneficial 


  • Starting date: flexible (duration of three years)
  • Flexible working hours and remote work
  • Competitive salary & attractive compensation package
  • Networking events, trainings & exciting workshops
  • Important: The PhD admission requirements are set by the university and candidates have to fulfill these requirements before starting their projects. Candidates need a confirmation by the supervisor professor before onboarding (not necessary for application).

At CARIAD, we value individuality and diversity. We see great strength in our differences and can all benefit from the unique perspectives of others. We strive to employ people with diverse backgrounds who have the expertise, energy and focus to advance our mission. If you're unable to submit an application because of a disability, please contact us at

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