Working student Integration of an industrial Data Analysis Demonstrator (f/m/div.)
Renningen, Germany
Applications have closed
Bosch Group
Moving stories and inspiring interviews. Experience the meaning of "invented for life" by Bosch completely new. Visit our international website.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
Bosch research is investigating how machine learning methods can be applied in practical applications. The aspect of training models on data from individual machines so that they can then be used for prediction is of central importance.
In order to investigate the industrial applicability of our developments, a demonstrator will be set up that consists of several devices.
- For this, we search for students who are interested in building and operating the demonstrator and let the components communicate with each other via an edge-device-independent service.
Qualifications
- Education: studies in the field of Computer Science, Computer Engineering, Mechatronics or comparable
- Experience and Knowledge: good knowledge in operating systems like Linux and Windows, knowledge about computer hardware of all kinds (PCs, Jetson boards, controllers...), programming skills in Python
- Personality and Working Practice: motivated, structured, innovative and team-minded
- Enthusiasm: willing to fight until the things behave like they should
Additional Information
Start: according to prior agreement
Duration: 12 months – 10 h/week
Requirement for this working student position is the enrollment at university. Please attach a motivation letter, your CV, transcript of records, enrollment certificate 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?
Tobias Schlagenhauf (Business Department)
+49 711 811 16677
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Engineering Industrial Linux Machine Learning Python Research Spark
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