Master's thesis description of hydraulic systems for use by AI agents

Role Summary

The assessment of the energy efficiency of hydraulic drives in mobile machines is becoming increasingly important as early as the project planning phase. To evaluate different system topologies, the specified output power on individual actuators is calculated back to the required drive power using a system rule. The implementation of the system regulations is currently done manually in MATLAB, which involves considerable effort with every new system topology. AI agents offer the potential to automate this step – provided the hydraulic system is presented in a machine-readable, clear and physically complete description. To date, there is no established format that combines system topology and parameterization in such a way that an AI agent can reliably generate executable and validatable MATLAB code. The aim of this work is to develop such a formal description language for work hydraulic systems, to use it as a prototype and to prove its suitability as an interface between engineer and AI agent.

During your master's thesis, you will analyze the current state of the art and research existing forms of description of hydraulic systems, such as ISO 1219 circuit diagrams or bond graphs, and identify the specific requirements of AI agents for structured inputs.

You will then design a formal, machine-readable description language that clearly depicts the topology and parameters of typical work hydraulic systems in mobile work machines.

As a prototype, you implement an AI agent that reads this formal description and uses it to generate a system rule as MATLAB code.

You validate and evaluate your method, compare the automatically generated code with a manual reference implementation and derive concrete recommendations for further development and industrial use.

Requirements

• Education: Master's degree in mechanical engineering, mechatronics or comparable
• Experience and know-how: Basic knowledge of hydraulics and system modeling; Experience in MATLAB is an advantage
• Personality and way of working: you work independently and in a structured manner on complex issues
• Everyday work: your presence on site is required
• Enthusiasm: Interest in AI, LLMs and agent architectures
• Languages: very good German and English
• Do you have technical questions about the job?
• Felix Ruthmann (specialist department)

Felix.Ruthmann@boschrexroth.de

• You can also find further information about us at www.boschrexroth.de/karriere and on our social media channels, such as Instagram.
• Move with us. Win together.

Benefits

Start: by arrangement

Duration: 6 months

• The prerequisite for the final thesis is enrollment at a university. Please include your CV, your current grades, the examination regulations and, if applicable, a valid work and residence permit with your application.
• For us, diversity and inclusion are not trends, but rather firmly anchored in our corporate culture. We therefore welcome all applications: regardless of gender, age, disability, religion, ethnic origin or sexual identity.

About the Company

At Bosch Rexroth, everything revolves around movement and the success of our customers. With our networkable drive and control technologies as well as digital solutions, machines and systems work efficiently, safely and powerfully. We offer our customers components, system solutions and services for mobile and industrial applications as well as for factory automation. We value the know-how and commitment of our employees in all areas and enable dynamic careers in an international environment.

Around 33,800 people in over 80 countries - and one corporate purpose: “We move industries to make our planet a better place.”

Do you also want to make a difference? Then we look forward to receiving your application at Bosch Rexroth AG.