PhD - AI/ML-based Credible Simulation Model of Power Module for Hybrid and Fully Electric Cars (f/m/div.)

Company Description

Do you want beneficial technologies shaped by your ideas? Whether it's mobility solutions, consumer goods, industrial technology, or energy and building technology – with us, you'll have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

Job Description

In this scientific role, we aim to develop a compact digital twin to represent non-linear and temperature-dependent thermo-mechanical behavior. Currently, only machine learning models can capture this complex behavior. If you are passionate about cutting-edge technology, join our team. Your task will involve:

• Conducting literature research to find credible simulation approaches.
• Developing a compact digital twin based on machine learning to quantify uncertainty and conduct robustness analysis of moulded power modules in various thermal and thermo-mechanical loading conditions.
• Developing a test structure with a piezoresistive stress sensor to validate the compact digital twin.
• Presenting work within Bosch and at international conferences.
• Cooperating in publicly funded projects with external partners, including research and industry leaders.

Qualifications

• Education: Completed university degree (master/diploma) in Computational Engineering, Computational Mechanics, Information Technology, Electrical, Mechanical, or Aeronautical Engineering, Physics, Mathematics, or a comparable course of study
• Personality & Working Practice: self-motivated, responsible, innovative, and team-oriented
• Experience and Knowledge: Significant experience in programming/scripting, preferably with Python. Experience with data science/machine learning. Familiarity with simulation methods such as FEM, CFD, MOR or design of experiment would be advantageous.
• Languages: Fluent in English; knowledge of German is a plus but not mandatory

Additional Information

The final Phd topic will depend on your university. Start: Month Year / as per prior agreement

We firmly believe in diversity and inclusion as foundational aspects of our corporate culture. We therefore welcome all applications, regardless of gender, age, disability, religion, ethnicity, or sexuality.

Need help with your application?
Michelle Kurz (Human Resources)
+49 7121 35-33122

Need more information about the job?
Jakub Przemyslaw Gromala (Functional Department)
+49 162 8514983