Master Thesis Application of Clifford Algebra Wafer Grinding Process to Simplification of Modeling & Simulation Process

Wafer Grinding is an essential part of micro sensor production process. The primary motivation for modeling and simulating the Waver grinding process is to achieve a deeper scientific understanding and enhanced control over a highly complex and critical manufacturing step. By developing a predictive virtual model we can move from an empirical trial-and-error approach to a more efficient science-based methodology.

• During your thesis you will develop and implement novel simulation frameworks to tackle complex real-world engineering challenges.
• Furthermore you will combine Clifford algebra with the grinding process to generate model equations with a simple structure and direct applicability.
• You will optimize key process parameters such as grinding wheel specifications feed rate and depth of cut in a cost-effective virtual environment.
• In Addition you will accurately predict undesirable effects such as surface damage microcracks and residual stresses and develop strategies to mitigate them.
• Lastly you will make a significant contribution to shortening development times minimizing costly physical experiments and systematically increasing efficiency in the wafer grinding process.

Qualifications :

• Education: Master studies in the field of Engineering Mathematics Computer Science Physics or comparable
• Experience and Knowledge:
  • strong programming proficiency in both Python and C or other C-derivatives
  • solid mathematical understanding as well as strong analytical skills particularly in areas relevant to the thesis topic
  • demonstrable experience in modeling whether through academic projects internships or personal projects e.g. physical modeling data-driven models or system simulation
• Personality and Working Practice: you have the ability to work independently as well as in a team with a proactive mindset and a passion for solving complex problems
• Work Routine: with us you benefit from a hybrid model that enables you to work both in the office and remotely
• Languages: fluent in both English and German

Additional Information :

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.

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Uwe Iben (Functional Department)

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Remote Work :

No

Employment Type :

Full-time