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Thesis Worker- Knowledge Graphs and Agentic AI for Industrial Operations

Thesis Worker at Volvo Cars
Welcome to explore the world of Volvo Cars by writing your thesis with us! As a thesis worker in our organization you are supported by a supervisor who follows you during your project. Through your thesis work you will be able to contribute to our company purpose – providing freedom to move in a safe, sustainable and personal way – from day one! 

About this opportunity - Background

At Volvo Cars, Industrial Operations plays a central role in driving efficiency, innovation, and sustainability across our global manufacturing and supply chain. As the volume and complexity of enterprise data continue to grow, we see a strong need to better connect, contextualize, and reason over this information.


Knowledge Graphs (KGs) are an emerging approach that can provide a structured, semantic representation of enterprise data, enabling advanced search, reasoning, and decision-making. At the same time, agentic AI frameworks (autonomous or semi-autonomous AI systems that use external tools, memory, and reasoning capabilities) are rapidly evolving and could leverage KGs to support smarter, data-driven operations.

 

This thesis explores the intersection of these two fields to shape the next generation of data intelligence at Volvo Cars.

Scope of the thesis work

The work will focus on two main areas:

 

1. Knowledge Graph Construction

  • Investigate how to model and integrate enterprise data (e.g., procurement, production, trade) into a knowledge graph.
  • Evaluate suitable technologies, frameworks, and ontologies for building and maintaining such a graph.
  • Address challenges such as data harmonization, scalability, and governance.

 

2. Utilization in Agentic Frameworks

  • Explore how the knowledge graph can be integrated into agentic AI frameworks.
  • Design and test use cases.
  • Assess potential business impact in the Industrial Operations.


The thesis will combine literature study, proof of concept development, and evaluation. The outcome should be both academic (methodological insights, research contribution) and practical (poc/demo, recommendations for future work).

What you'll bring

  • A background in Computer Science, Data Science, AI, or related fields.
  • Strong interest in knowledge representation, semantic technologies, and applied AI.
  • Good coding skills in Python, and/or Typescript.
  • Familiarity with graph technologies is a plus.
  • An analytical mindset, curiosity for exploring emerging technologies, and willingness to work hands-on with data.

 

You will work closely with the Data & AI Hub in Industrial Operations, gaining insight into cutting-edge industrial applications of AI and working side-by-side with data scientists, engineers, and domain experts at Volvo Cars.

 

Location: Volvo Cars, Gothenburg, Sweden (onsite requirement)

Duration

  • The work will start in Jan 2026.
  • The duration for this thesis work is 20 weeks.
  • 30 ECTS (academic credits) if in agreement with your Thesis Advisor at the University.
  • This thesis is to be conducted by 2 Students working in pair. 


Volvo Cars. For Life.
For nearly a century, Volvo Cars has empowered people to move freely in a personal, sustainable and safe way. Today, we are driving bold advancements in electrification, sustainability and automotive safety. To realise our ambitious vision, we are seeking innovative minds who are ready to tackle the challenges of tomorrow – today.

At Volvo Cars, we believe extraordinary things are achieved by ordinary people with a passion for making a difference. If you’re inspired by the opportunity to help redefine the future of mobility, we invite you to be part of our journey.

Ready to take the next step?

Selection will be ongoing during the application period, so do not hesitate to send in your application. Attach your CV and personal letter stating your interests within the given area and your thoughts and credentials.

 

Apply as soon as possible but no later than  2025-11-16. Please note that applications via email will not be accepted.

 

If you have any additional questions regarding the thesis work, you are welcome to contact Manager, Christina Finlay at christina.finlay@volvocars.com or Supervisor, Jiong Sun at jiong.sun@volvocars.com.


As part of the recruitment process, the final candidates might undergo a background check.

Welcome with your application!

Gothenburg, SE, 40531

Job requisition ID:  77807

Apply now »