PhD – Generator für optimierte Wicklungsschemata in elektrischen Maschinen (w/m/div.)
Core
Develop a novel mathematical approach for comprehensive modeling of Pin-winding systems (Hairpin windings) to enable innovative designs of electrical machines.
Role type
Research PhD candidate (Applied Mathematics/Computational Engineering)
Builds
Mathematical models and optimization algorithms for electrical machine winding schemata
Domain
Electrical engineering / Computational mathematics
Deliverable
research
Required skills
Discrete optimization, Electromagnetic field simulation, MATLAB, Python, Object-oriented programming, Version control (Git)
Preferred skills
Experience with electrical machines, Visual Studio
