Thesis Verification and Validation of DataBased Models using System Knowledge
Location
Magstadt | Germany
Job 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
Our research center in Renningen serves as a network of short paths between communication and inspiration, where there are no limits to creativity. Do you want to shape the future with us?
- In the context of this thesis you will research available verification and validation (V&V) methods which also can incorporate system (expert) knowledge.
- You will select and analyze the most promising model frameworks regarding V&V.
- The development of a V&V concept for a lead application (excavator assistance functions) which increases the robustness of databased model training against bad data (outliers, data gaps, measurement noise) will also be part of your research.
- Furthermore, you will investigate measures to reduce the computational load of the V&V concept to enable an online V&V.
- Last but not least you will be able to test the developed V&V concept using the real excavator data.
Qualifications
- Education: studies in the field of Computer science, Engineering or Mathematics
- Experience and Knowledge: competent handling of MATLAB / Simulink or Python, competence in control engineering and / or hydraulics is an advantage
- Personality and Working Practice: creative team player with the ability to work independently
- Languages: very good English
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?
Ozan Demir (Functional Department)
+49 711 811 45250
Benjamin Hartmann (Functional Department)
+49 7062 911 7020
#LI-DNI
Summary
- Type: Full-time
- Function: Research
Job tags
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