Master Thesis in Causal AI in Manufacturing gesucht

vor 4 Wochen


Renningen, Deutschland Robert Bosch GmbH Vollzeit

Company Description At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. The Robert Bosch GmbH is looking forward to your application Job Description We as Bosch have many manufacturing plants with highly automated production lines. Leveraging our collected manufacturing data and causal learning techniques bears a great potential for gaining insights into manufacturing processes and solving domain questions, such as quality prediction and root cause analysis. During your thesis, you will develop causal learning methods based on domain knowledge and data. Last but not least, you will have the opportunity to not only exchange with manufacturing process experts and ML scientists, but also be co-author in a conference or journal publication. Master studies in the field of Computer Science, Mechanical Engineering, Electrical Engineering, Physics, Mathematics, or comparable with very good grades Experience and Knowledge: in Python, ideally first practical experience in machine learning Personality and Working Practice: communicative, responsible and self-motivated Languages: fluent in English, German is a plus 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.



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