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Job Description

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. Work #LikeABosch starts here: Apply now! #LI-DNI