Master's Thesis: Agent-Based Autonomous Setup of Complex Industrial Logistics Systems (Waldkirch (near Freiburg), Waldkirch (near Freiburg), Waldkirch (near Freiburg), Waldkirch )
At a glance
Pay
Not stated
Median for Freiburg (all fields): €17.00/hr, from 17 working-student postings with stated pay in the last 12 months. Salary guide
Requirements
Studies: Computer science, data science, business informatics or related · Master's students · must be enrolled
Languages: English (good)
Hours & duration
3–6 months
Good to know
Thesis possible
Employer
SICK Sensor Intelligence · HQ in Waldkirch
We list 51 open student roles at SICK Sensor Intelligence, 29 in Freiburg. 5 more have closed since June 2026. See all SICK Sensor Intelligence roles
Similar roles
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Of these: 35% with no German needed, 43% hybrid or remote, 28% with pay stated.
Skills in the ad
LLMsDistributed SystemsPythonRAGModel Context ProtocolWorld ModelsAI Agents
Job description
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Description provided by SICK Sensor Intelligence
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
Contact: Sarah Disch
Rules that apply:20-hour rule140/280-day ruleWerkstudentenprivilegNet pay calculator
