Masterand – Ultrasonic Ground Simulation (m/w/d)
Core
Investigating complex physical effects in wave propagation and developing optimized numerical methods for high-fidelity ultrasonic ground simulation in automotive contexts.
Role type
Master's student (Trainee) in Data Engineering/AI/Informatik/Mathematics
Builds
High-fidelity simulation environments for ultrasonic ground modeling
Domain
Automotive R&D / Computational Physics / Data Science
Deliverable
production ML models | research
Required skills
Python (Pandas, NumPy), ETL pipelines, Machine Learning, mathematical modeling, sensitivity analysis
Preferred skills
stochastic modeling, algorithmic geometry generation, data-driven simulation strategies
Technologies
Python, Pandas, NumPy
Responsibilities
Analyze existing mathematical and numerical methods, evaluate strategies to improve simulation quality, validate models using real reference data, conduct detailed sensitivity analyses
Seniority
Master's student (Trainee)
