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 design of electrical machines.
Role type
PhD Researcher in Computational Engineering and Optimization
Builds
Optimized winding schemata for electrical machines
Domain
Electrical Engineering / Computational Mathematics
Deliverable
production ML models | research
Required skills
discrete optimization, electromagnetic field simulation, MATLAB, Python, object-oriented programming, version control (Git)
Preferred skills
experience with electrical machines, simulation tools integration
Responsibilities
Analyze computational complexity and runtime performance of discrete optimization algorithms; integrate mathematical models into existing simulation tools; evaluate and optimize winding schemata based on KPIs
Seniority
PhD Candidate