Master Thesis - LLM-Driven Interaction with Data Platforms: Design, Evaluation, and Challenges

Job Title

Master Thesis - LLM-Driven Interaction with Data Platforms: Design, Evaluation, and Challenges

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 system’s 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 pairs. 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, damir.knezevic@axis.com or Douglas Persson, douglas.persson@axis.com 

Type Of Employment

Temporary Employment (Fixed Term)

Posting End Date

2025-12-30

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.

Let´s create a smarter, safer world

For more information about Axis, please visit our website www.axis.com.

Listen to Get To Know Axis – Podcast