PhD A Generator of Optimized Winding Schemes in Electrical Machines

• 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 (Masters 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 :

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 6

Need further information about the job
Houda Benkour (Functional Department)
49 4

Work #LikeABosch starts here: Apply now!

Remote Work :

No

Employment Type :

Full-time