SICK is one of the world’s leading solutions providers for sensor-based applications in the industrial sector. Founded in 1946 by Dr.-Ing. e. h. Erwin Sick and headquartered in Waldkirch im Breisgau near Freiburg, the company is a technology and market leader with 63 subsidiaries and affiliates as well as numerous agencies around the globe. SICK has more than 10,000 employees worldwide and generated a group revenue of EUR 1.8 billion in the 2025 fiscal year.
Job Description
Master's Thesis: Agent-Based Autonomous Setup of Complex Industrial Logistics Systems

Summer Semester 2027 – limited to 3–6 months

 

Our R&D team develops advanced dimensioning systems for industrial logistics applications. Due to the complexity of these systems, on-site setup and installation currently require highly skilled personnel. With recent advances in AI, we want to investigate whether an agent-based, autonomous setup process is technically feasible and offers practical benefits. You will apply state-of-the-art AI technologies to a real-world business challenge, interact with different components of the product architecture, and explore innovative approaches to human-machine interaction. Your work will directly contribute to our product strategy and help shape the user interfaces of future product generations.

 

YOUR TASKS:

  • Explore recent advances in AI agent architectures and identify the most promising approaches for autonomous system setup.
  • Gain hands-on insights into current installation workflows and build a solid understanding of the application domain.
  • Implement an agent-based solution that can generalize across different products within the same product family.
  • Design a range of test scenarios to assess the strengths, limitations, and robustness of your approach.
  • Analyze the results, assess technical feasibility, and derive recommendations for further development.
  • Prepare clear, structured documentation to support future R&D activities and product strategy decisions.

 

YOUR PROFILE:

  • Currently pursuing a Master’s degree in Computer Science, Informatics, Data Science, Business Informatics, or a related field
  • Strong interest in AI agents, large language models (LLMs), world models, and complex technical applications
  • Experience in customizing and extending LLM-based systems, e.g., using retrieval-augmented generation (RAG) or agent skills
  • Programming experience in Python or a comparable language
  • Basic understanding of AI concepts, including the Model Context Protocol (MCP) and RAG, as well as distributed systems
  • Independent, structured, and reliable working style
  • Good command of English, both written and spoken
Information at a Glance
Apply now
Posting Start Date:  10/14/26
Requisition-ID:  38281
Posting Job Location:  Waldkirch (near Freiburg)
Full-time/Part-time:  Full-time

Contact: Sarah Disch

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At SICK, we value the diverse backgrounds, experiences, and perspectives of our people. This enriches us as an organization. We are committed to fostering an inclusive workplace where everyone is treated with dignity, fairness, and respect and stand firmly against any form of discrimination.