About the job
Join us in exploring the fascinating world of Micro-Electro-Mechanical Systems (MEMS). These intricate devices, featuring mechanical structures at the micrometer scale, are essential in our daily lives, powering everything from smartphones to automobiles and smart devices. The creation of these delicate structures is a multi-stage, complex process. While causal relationships within certain production subsystems might be implicitly understood, a clear and systematic representation of these relationships is often lacking. Our project aims to model the fundamental causal truths for known subsystems and propose and validate hypotheses for the causal truths of lesser-understood subsystems.
- During your master's thesis, you will acquire in-depth knowledge about causality and its distinction from correlation, establishing a strong theoretical foundation for your work.
- You will deeply engage with MEMS technology, specific production processes, and the complexities of MEMS manufacturing.
- You will identify and analyze causal relationships within known subsystems, interpreting relevant variables through literature and textbooks.
- Subsequently, you will develop hypotheses and models for the causal truths of these systems, presenting them explicitly, analytically, and graphically.
- Your hypotheses will be validated through close collaboration with Bosch's expert team as you apply your developed methodologies to unknown subsystems with more complex interrelationships.
- You will evaluate existing algorithms for data-driven inference of causal relationships using your self-developed models.
- You will meticulously prepare your findings, analyze data, and regularly present results within your workgroup.
