Master Thesis Application of Clifford Algebra - Wafer Grinding Process to S at Bosch Group

Renningen, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

20 Jul, 26

Salary

0.0

Posted On

21 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Clifford algebra, Python, C++, Mathematical modeling, Simulation, Data-driven models, System simulation, Engineering, Physics, Computer science, Analytical skills, Predictive modeling, Manufacturing process control, Problem solving

Industry

Software Development

Description

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! 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. Need further information about the job? Uwe Iben (Functional Department) +49 173 7592909 Work #LikeABosch starts here: Apply now! #LI-DNI Legal Entity: Robert Bosch GmbH

Responsibilities

Develop and implement novel simulation frameworks to model the wafer grinding process using Clifford algebra. Optimize process parameters and predict surface damage to improve manufacturing efficiency and reduce physical experiments.