Praktikum: Modellierung der physikalischen Dynamik mikroelektromechanischer Systeme (MEMS) (w/m/div.)
Core
Developing causal models to understand and optimize the physical dynamics of micro-electro-mechanical systems (MEMS) manufacturing processes using physics-based equations and machine learning.
Role type
Research intern (Physics/Engineering)
Builds
Causal models for MEMS production sub-processes
Domain
Manufacturing / MEMS / Physics
Deliverable
research
Required skills
Physics, Differential equations, Statistics, Probability theory, Python, SQL, Causal modeling
Preferred skills
Mathematical modeling, Graph structures, Machine learning algorithms
Responsibilities
Derive system equations from physical principles, validate assumptions with experts, compare machine learning algorithms for causal discovery, document results in a report
Seniority
Intern
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