PhD - A Generator of Optimized Winding Schemes in Electrical Machines
Core
Develop novel mathematical approaches for modeling pin winding systems and formulate robust representations of complex boundary conditions to optimize electric machine designs.
Role type
PhD researcher in applied mathematics and optimization
Builds
Optimized winding schemes for electric machines
Domain
Electrical engineering / Electric machines / Optimization
Deliverable
production ML models | research
Required skills
discrete optimization, electromagnetic field simulation, object-oriented programming, MATLAB, Python, version control (Git)
Preferred skills
experience with electric machines, Visual Studio
Responsibilities
Analyze computational complexity and runtime performance of discrete optimization algorithms; integrate mathematical models into simulation tools to evaluate winding schemes based on KPIs
Seniority
PhD candidate
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