Master Thesis AI-Driven Tolerance Sensitivity Analysis of Worm Gears
Core
Develop an AI-driven methodology for tolerance sensitivity analysis of worm gears to optimize complex mechanical systems.
Role type
Master's thesis researcher (AI & Precision Engineering)
Builds
Parametric simulation models, automated simulation workflows, and AI-based surrogate models.
Domain
Mechanical Engineering / Precision Manufacturing / Artificial Intelligence
Deliverable
production ML models
Required skills
MATLAB, Python, C++, Finite Element Method (FEM), Uncertainty Quantification (UQ), global sensitivity analysis
Preferred skills
None stated
Technologies
MATLAB, Python, C++, Abaqus, Ansys
Responsibilities
Develop a parametric simulation model; model uncertainties to ensure robustness; automate the simulation workflow; conduct global sensitivity analysis; build and train an AI-based surrogate model.
Seniority
Master's student (6-month project)
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