Aufgaben:

Future autonomous systems, such as mobile robots, must be capable of dynamically adapting to their environment by utilizing available hardware as tools. Instead of relying on pre-programmed drivers, these systems should autonomously discover and interface with devices on-the-fly. This thesis explores how Large Language Models (LLMs) can bridge the gap between high-level intent and physical hardware interaction through standardized device descriptions.

You currently study successfully in a field such as Computer Science, Electrical Engineering, or a related discipline, applying your academic knowledge to real-world device interaction challenges

Building on this foundation, you evaluate the performance of large language models (LLMs) in semantic discovery tasks, probing and mapping unknown physical devices via various industrial communication protocols

Subsequently, you analyze and compare description standards-such as MCP, MHS, OPC UA, W3C WoT, and AsyncAPI-to assess their impact on token consumption, expressiveness, interface quality, safety, and reliability

In addition, you research and implement methods to deterministically extract hardware safety limits from device metadata, ensuring the absence of physical damage during autonomous operation

Finally, you investigate approaches for autonomous authentication and access control, contributing to the secure configuration of devices in dynamic, ad-hoc environments

Qualifikation:

Education : You are currently enrolled in a Master's program in Computer Science, Electrical Engineering, Robotics, or a related field

Experience and Skills :

Strong proficiency in Python; knowledge of C/C++ and Rust is beneficial

Experience with LLM integration and agentic AI software development

Basic understanding of hardware-software interfaces and measurement technology, with an interest in industrial communication protocols such as OPC UA and Web of Things

Ways of Working : You work independently and thrive on exploring complex, innovative system architectures

Languages : Very good English skills are required

Wir bieten:

Exciting research and development projects that put your theoretical knowledge into practice

Individual supervision and support from experienced experts in your field

Access to the latest technologies, laboratories, and resources

Diverse opportunities to contribute your ideas and actively shape the projects

Excellent career opportunities through contact with potential employers

Über Uns:

At Siemens, we believe that feeling valued and included is the foundation for doing great work. That's why we aim to create an inclusive workplace where everyone feels a sense of belonging, and where individual perspectives and experiences are celebrated. Our commitment to fairness and respect extends to every applicant.

The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.]]>