Electrical Machine Winding Optimization PhD

Job Description

• You will develop a novel mathematical approach for the comprehensive modeling of pin winding systems (hairpin windings), thereby laying the foundation for innovative electric machine designs.
• Furthermore, you research and formulate robust mathematical representations of highly complex real-world boundary conditions and constraints, including symmetry requirements, operating conditions, as well as manufacturing and production restrictions.
• Your tasks include precisely analyzing and critically evaluating the computational complexity, feasibility, and runtime performance of your proposed discrete optimization algorithms.
• Last but not least, you integrate your mathematical models into existing simulation tools to systematically evaluate and optimize winding schemes based on defined key performance indicators (KPIs).

Qualifications

• Education: excellent university degree (Master's or equivalent) in Applied Mathematics, Industrial/Technomathematics, Computational Engineering, Computational Engineering Science, or a comparable
• Experience and Knowledge: experience in the field of optimization, particularly in discrete optimization; experience with electromagnetic field simulation and applying mathematical concepts to real-world problems, ideally with exposure to electric machines; hands-on knowledge of object-oriented programming principles; solid programming skills in MATLAB and Python; experience with software development tools such as version control (e.g., Git) and Visual Studio
• Personality and Working Practice: you are skilled at analytically tackling complex problems and developing innovative solutions; you are open-minded toward new ideas and forward-thinking; you communicate clearly and collaborate constructively in a team; moreover, you proactively take on challenges and find ways to overcome obstacles
• Languages: fluent in English (written and spoken); German language skills or the willingness to learn

Additional Information

https://www.bosch-ai.com
www.bosch.com/research

The final PhD topic is subject to your university.

Start: according to prior agreement

Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account). 

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need support during your application?
Celina Dannecker (Human Resources)
+49 711 811 21346

Need further information about the job?
Houda Benkour (Functional Department)
+49 711 811 26764

Work #LikeABosch starts here: Apply now!