Thesis Work: Intelligent Centralized Master Data Automation with LLMs

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Denna position rapporterar till:
Finance Manager




Force Measurement is a successful unit (~270 employees) within ABB based on unique electromagnetic inventions. We develop, manufacture and bring to market products for Industrial measurement of mechanical properties; force, dimension and strip flatness.

At Force Measurement we are focusing on "Hyperautomation" and intelligent solutions. The thesis work will be focused on the creation of a centralized database for historic and future order data while utilizing automated access using Large Language Models (LLMs). The work will be challenging, and you will work with an experienced team to learn and adapt your solutions.

Details

• Duration: 20 weeks in 2026

• Number of credits: 30 ECTS (Master Thesis level)

• Number of students: 1

• Location: Västerås

Your responsibilities

You are responsible for taking ownership of your work in a highly dynamic work environment and will report to the thesis supervisors on regular basis. The thesis work scope is diverse but will include:

• Learn the current state of the data landscape and the existing tools, stakeholders, and policies

• Design a target architecture for centralized master/order data with a server-based LLM access on the Azure platform

• Implement a small but representative data domain end-to-end (ingest → model → quality → index → LLM Q&A)

• Build a working RAG prototype with citations and basic guardrails

• Define and run evaluation (data quality KPIs + LLM answer quality)

• Evaluate and iterate using objective/subjective metrics; measure cost, quality, and on time delivery

• Present results to experts and non-experts; document trade-offs and a realistic roadmap

Your background

You are in the final year of your studies, preferably in the fields of Computer Science, Data Science/AI, Information Systems, Electrical Engineering, Mechatronics, Industrial Engineering, or similar.

You would also need to possess the following:

• Proficient in Python, C# or equivalent. Comfortable with Git, SQL, and pragmatic data modeling (OLTP vs. analytics views)

• Familiarity with the Azure development suite is highly appreciated. Knowledge or experience with Azure AI Foundry is a great merit

• Familiar with SQL data handling and automation through LLM APIs is a merit

• You can sketch modular architectures and connect between Ux/UI to Backend requirements

• Knowledge of Agile work methods such as SCRUM/Kanban is a merit

• You are curious, structured, and collaborative with a high passion for teamwork

• You communicate well in English; knowledge of Swedish is a plus

If you don't tick every box but learn fast and care about automation and data quality, we want to hear from you.

More about us

Recruiting Manager, Frank H. Hufnagel frank.h.hufnagel@de.abb.com will answer your questions.

Apply with your CV, academic transcripts and a cover letter in English. Please note that the position may be filled before the application deadline, so we encourage you to apply as soon as possible.

Join us. Be part of the team where progress happens, industries transform, and your work shapes the world. Run What Runs the World.

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