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). 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