Master Thesis - LLM-Driven Interaction with Data Platforms: Design, Evaluation, and Challenges
Master Thesis - LLM-Driven Interaction with Data Platforms: Design, Evaluation, and Challenges
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Job Description
Job Title
Job Description
Category
AI computer science programing
Scope
2 students completing a master thesis 30 hp.
Background
The rapid development of large language models (LLMs) has made it possible to imagine new forms of interaction with complex data platforms. Instead of relying on technical query languages or specialized dashboards users could simply ask questions in natural language and receive meaningful answers. This could lower the barrier for data-driven decision-making and make advanced analytics more widely accessible.
This thesis will explore such a system consisting of three main components:
- an LLM that interprets user questions
- a user interface that enables intuitive interaction and
- a set of MCP servers and tools that the LLM can use to query and analyze data.
The current prototype already demonstrates this workflow but its performance reliability and user experience are limited.
Goal
The aim of the project is not set in stone but some example directions could be:
- How to test LLMs in realistic system settings.
- How to measure improvements when upgrading models tools or prompts.
- How to gain user trust through transparency usability or explainability.
- How to ensure security and prevent data leakage when deploying LLM-based systems.
The research will likely involve developing or refining a prototype experimenting with different system configurations and designing ways to evaluate the systems performance and reliability. The precise focus can evolve depending on which challenges emerge as most significant as well as the expertise and interests of the supervisors.
Ultimately the thesis aims to contribute practical insights into how LLMs can be integrated into data platforms in a way that is user-friendly secure and trustworthy.
Ideally the project would be done during the first half of 2026 but the timeline is flexible.
OK I am interested! What do I do now
You are valuable to us how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.
- Applications are accepted in both Swedish and English and you apply via the proposal advert.
- The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program.
- When the thesis proposal states that it includes two students working together we would like you to apply in these cases send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this please do not hesitate to contact us.
- Please attach your CV and University/College grade summary.
Who to contact for any questions regarding the position!
Damir Knezevic or Douglas Persson
Type of Employment
Temporary Employment (Fixed Term)Posting End Date
Certain roles at Axis require background checks which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.
About Axis Communications
We enable a smarter safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader we offer solutions in video surveillance access control intercom and audio systems enhanced by intelligent analytics applications.
With around 5000 committed employees in over 50 countries we collaborate with partners worldwide. Together we thrive in our friendly open and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion diversity and sustainability we consistently seek to develop our skills and way of working.
Lets create a smarter safer world
For more information about Axis please visit our website .
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Employment Type
Full-Time
