Master Thesis Autonomous Agentic Control Design - Translating System-theoretic Properties Into Self-improving Synthesis Loops
Bosch Rexroth Pty. Ltd.
Renningen, Germany
On-site
Control engineering knowledge
Machine learning expertise
Python programming skills
The thesis explores how autonomous meta-agents can automate the end-to-end design process for complex controllers
Job Summary
The thesis explores how autonomous meta-agents can automate the end-to-end design process for complex controllers.
You will design a reasoning framework that guides the agent in selecting and synthesizing advanced control architectures balancing nonlinear methods with optimization-based approaches.
This project offers a unique opportunity to work at the direct intersection of generative AI and safety-critical control systems.
Matching Summary
The thesis explores how autonomous meta-agents can automate the end-to-end design process for complex controllers.
Skills & Requirements
Must-have
Control engineering knowledge
Machine learning expertise
Python programming skills
Agentic AI experience
Nonlinear control methods
Model predictive control
Reinforcement learning
Nice-to-have
Autonomous systematic working practice
Analytic thinking capabilities
Safety-critical system design
Generative AI intersection
Verifiable system development
Key Requirements
Master studies in Cybernetics, Engineering, Mathematics, Computer Science or comparable field