Thesis on Improving Data Quality for Learning-Based Controllers
Thesis on Improving Data Quality for Learning-Based Controllers
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Job Description
At Bosch Corporate Research in Renningen we are working on learning control of hydraulic cylinders for advanced excavator assistance functions.
- During your thesis you will determine the relevant operational space for learningbased control of hydraulic cylinders for different excavators.
- You will use new concepts to detect distributional shifts of excavators and collect missing data.
- In addition you will develop measures to reduce the computational load of V&V concepts to enable reliable lifelong learning.
- Last but not least you will test the developed concepts using real excavators and/or using simulations with real excavator data.
Qualifications :
- Education: studies in the field of Electrical Engineering Electronics Computer Science Mathematics or comparable
- Experience and Knowledge: in the field of Electrical Engineering Electronics Computer Science or Mathematics an advantage
- Personality and Working Practice: you are an open and communicative person who is able to work independently
- Languages: fluent in German or in 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 0
Matthias Woehrle (Functional Department)
49 8
#LIDNI
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
