Master Thesis Evaluating Multi-Agentic AI Systems in Practical Applications

Are you a masters student in Computer Science looking for an innovative company to collaborate with on your masters thesis during the spring semester of 2026 Look no further.

ASSA ABLOY is the global leader in access solutions and provides the latest technologies to give access to physical and virtual spaces for millions of people every day. Joining ASSA ABLOY means being part of a fast-moving and highly innovative company with diverse opportunities in more than 70 countries worldwide.

What can you expect as a masters thesis intern at ASSA ABLOY Cutting edge technology a steep learning curve dedicated supervisors from within the enterprise a group of fellow masters thesis students to share the experience with and much more.

We have an exciting range of subjects. Please remember to indicate in your application if youre interested in other subjects as well and mark them in your order of preference. Please also let us know your thoughts on how you would approach the subject. Please note that most of your work will be done at our HQ in Stockholm.

While we aim to support all proposed thesis subjects we may need to change or cancel a project due to unexpected circumstances.

Master thesis nr 5 - Evaluating Multi-Agentic AI Systems in Practical Applications

Multi-agentic AI systems where several large language model (LLM)-based agents collaborate or coordinate to solve complex tasks are being increasingly developed and used in modern business solutions. However systematic methods for evaluating such systems in real-world applications are limited. A recent survey in this field highlights key gaps noting the need for scalable evaluation solutions that consider cost safety and robustness 1.

This project aims to approach the challenge of evaluating multi-agentic systems and address the gaps in the field through the evaluation of a multi-agentic system developed in-house at ASSA ABLOY. The goal of this project is to generate insights on how to evaluate and improve such systems in practical business settings.

Objective

Contribute to a reproducible evaluation process for multi-agentic AI systems within an applied business environment.

Explore and define evaluation dimensions and best practices suited to the chosen multi-agent application.

Investigate and apply existing evaluation techniques to derive practically useful insights for system design and improvement.

Focus Areas

How can evaluation insights be integrated into the development and improvement of the agent pipeline

What constitutes reliable and interpretable evaluations of multi-agentic AI systems in practice

How can existing evaluation techniques be used in or adapted to ASSA ABLOY applications

Expected Outcome

Contributions to an internal evaluation pipeline enabling more systematic analysis of agentic AI behavior.

Insights knowledge and recommendations on suitable evaluation techniques for the in-house multi-agentic system derived through an academic research process.

This position is ideal for two MSc. thesis students with a background in AI and machine learning with experience with LLMs. If you are interested in further readings (e.g. the cited survey) or have any related questions feel free to reach out to

We Look Forward to Your Application!

Please include your CV university transcripts resumé and a short description of how you would approach this thesis topic.

We are the ASSA ABLOY Group
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As we welcome new people on board its important to us to have diverse inclusive teams and we value different perspectives and experiences.