Master Thesis AI Integration for Large Data Analysis, Quality Management, and Predictive Maintenance

Master Thesis AI Integration for Large Data Analysis, Quality Management, and Predictive Maintenance

Tübinger Straße 123, 72762 Reutlingen, Germany

Full-time

Robert Bosch GmbH

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

Are you an ambitious student with a passion for Artificial Intelligence and automated systems? This Master thesis offers a unique opportunity to integrate advanced AI methodologies with vast machine parameter databases, directly impacting process optimization, quality management, and predictive maintenance.

• During your thesis you will build a pilot AI-system as primary scope. All necessary machine data is readily available, guidance and assistance you will receive from our digital department and factory team. Please note, for data protection reasons only Bosch private AI-Infrastructure can be used.
• You will develop AI models for the evaluation of large machine parameter databases with the core objective to optimize process parameters.
• Additionally, you will monitor the machine parameters to detect deviations between different tools. This will facilitate identification of root causes for process variation, ultimately leading to improved stability.
• You will uncover complex dependencies between various parameters and based on these insights, develop models capable of predicting future maintenance needs.
• Finally, you will utilize previous and current production data to train the AI models.

Qualifications

Additional Information

Start : according to prior agreement

Duration : 4 - 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?

Stefan Zeller (Functional Department)

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Work #LikeABosch starts here : Apply now!