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Gesucht: Internship Evaluation of a Machine Learning System for Condition Monitoring
vor 3 Monaten
Our drive and control technologies move machines and projects of all sizes around the world. We inspire our customers with intelligent components, tailor-made system solutions and services for fully networkable applications up to the factory of the future. Do you want to move more? Welcome to Bosch Rexroth.
Bosch Rexroth AG is looking forward to your application
Job Description
- As our intern, you will have the opportunity to build and test our condition monitoring system for Rexroth linear guides on a machine tool in Schweinfurt.
- You will be involved in setting up our software on an industrial platform, such as Rexroth ctrlX or Siemens PLC, and connecting sensors to the machine controller and the machine learning model. This will give you valuable hands-on experience of using advanced methods such as machine learning to develop an industrial system.
- Following this, you will carry out robustness checks in a number of different scenarios to ensure the reliability of the system.
- Finally, you will play a key role in helping the team to evaluate the anomaly detection results and the overall performance of the system. This internship will allow you to contribute to the development and evaluation of cutting-edge technology, providing you with a unique opportunity to learn and apply advanced methods in an industrial environment.
- Education: technical or scientific studies
- Experience and Knowledge: experience of control engineering; programming skills with structured language or C++
- Personality and Working Practice: anindependent and motivated person
- Enthusiasm: interest in factory automation and condition monitoring
- Languages: fluent in German (preferred) or English
Start: according to prior agreement
Duration: months (if the total duration of the internship exceeds 6 months, confirmation as mandatory internship is required for the entire period according to the study regulations)
Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, 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?
Juejing Feng (Functional Department)
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