Bosch Group
Master Thesis in Continual Learning with Agentic Memories(m/w/x)
Full-timeInternshipWith Homeoffice
Renningen
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BOBosch Group
Master Thesis Autonomous Agentic Control Design - Translating System-Theoretic Properties into Self-Improving Synthesis Loops(m/w/x)
Renningen
Full-timeInternshipWith Home Office
AI/ML
Nejo AI Summary
Designing autonomous meta-agents for control design, translating system-theoretic properties into self-improving synthesis loops. Profound control engineering and machine learning knowledge required. Exploration of nonlinear methods with optimization approaches.
Requirements
- Master's degree in Cybernetics, Engineering, Mathematics, Computer Science, or comparable
- Profound knowledge of control engineering and machine learning
- Experience with Python and agentic AI
- Autonomous, systematic working practice
- Analytic thinking
- Very good English skills
Tasks
- Explore autonomous meta-agents for control design
- Translate control theory into automated steps
- Analyze critical requirements for control systems
- Design a reasoning framework for control architectures
- Balance nonlinear methods with optimization approaches
- Build a closed-loop simulation framework
- Interact with physical benchmarks using Python
- Iteratively write and test control code
- Verify safety and performance programmatically
- Combine AI adaptability with engineering guarantees
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- agentic AI
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BOBosch Group
Master Thesis Autonomous Agentic Control Design - Translating System-Theoretic Properties into Self-Improving Synthesis Loops(m/w/x)
Renningen
Full-timeInternshipWith Home Office
AI/ML
Nejo AI Summary
Designing autonomous meta-agents for control design, translating system-theoretic properties into self-improving synthesis loops. Profound control engineering and machine learning knowledge required. Exploration of nonlinear methods with optimization approaches.
Requirements
- Master's degree in Cybernetics, Engineering, Mathematics, Computer Science, or comparable
- Profound knowledge of control engineering and machine learning
- Experience with Python and agentic AI
- Autonomous, systematic working practice
- Analytic thinking
- Very good English skills
Tasks
- Explore autonomous meta-agents for control design
- Translate control theory into automated steps
- Analyze critical requirements for control systems
- Design a reasoning framework for control architectures
- Balance nonlinear methods with optimization approaches
- Build a closed-loop simulation framework
- Interact with physical benchmarks using Python
- Iteratively write and test control code
- Verify safety and performance programmatically
- Combine AI adaptability with engineering guarantees
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- agentic AI
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bosch Group and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
Not a perfect match?
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