As part of your doctorate, you will work on pioneering issues surrounding the digitalization and quality optimization of the production of drive components for e-mobility. You will develop innovative methods for condition monitoring of manufacturing processes using modern AI technologies, thus making a significant contribution to ensuring the highest quality standards. Your research results will be continuously coordinated with experts in large-scale production and will find direct application in industrial practice.
What awaits you?
- Exciting environment in the field of drive component manufacturing in the transition to e-mobility.
- Collaboration on innovative solutions to ensure the highest quality standards.
- Analysis of machine, process and product data to identify quality deviations and their causes.
- Development and application of modern AI methods for data-based condition monitoring and optimization of manufacturing processes.
- Active contribution to the transformation and digitalization of drive component manufacturing.
Table of Content
Summary
- Application DeadlineNot Specified
- Study LevelPhD
- SponsorBMW Group
- Eligible CountryAll Countries
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Benefits
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Mobile work.
- Attractive, fair funding amount.
- Apartments for students
- And much more, see? bmw.jobs/whatweoffer .
Start date: November 1, 2025.
Duration: 36 months.
Requirements
- Successfully completed studies in computer science, automation technology, data science, mathematics, mechanical engineering or a comparable course of study.
- Solid programming skills in Python, MATLAB or R.
- Experience with machine learning, computer vision, multivariate problems and anomaly detection is an advantage.
- Enjoyment of scientific work and complex problems.
- Fluent written and spoken German skills are a must.
Application Deadline
Not SpecifiedHow To Apply
Are you qualified and interested in this opportunity? Kindly go to
BMW Group on career5.successfactors.eu to apply
For more information, kindly visit BMW scholarship webpage.