Master Thesis - Cybersecurity (AI)
Göteborg, SE, 417 15
Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.
Background of thesis work
Master Thesis topic: Leveraging LLM to reduce bottlenecks during Threat Analysis and Risk Assessment verification
Safety is a major concern in the transportation sector, and cybersecurity is a vital prerequisite to ensure it, especially in the age of connected vehicles. In the current digitized world, the likelihood of cyberattacks on vehicles is increasing due to more involvement of Internet of Things (IoT). Within the advanced systems-of-systems concept, everything is interconnected and correlates to an escalation of threats and risk of cybersecurity breaches, if we do not design secure solutions actively.
Cybersecurity is an important aspect when designing an automotive system, being considered from the very early concept stages of development, and one of the core activities in determining cybersecurity risks is the Threat Analysis and Risk assessment activity, or TARA for short. Analysing designs and creating a TARA, maintaining it by keeping it updated with design changes, and quality ensuring it by reviewing it consumes a lot of man hours and induces lead times. For this thesis the focus is on reviews, which is a form of verification, and how usage of AI/ML may automate part of this activity to reduce some of the bottlenecks associated with manual reviews.
To sell vehicles vehicle manufacturers need to show authorities that the vehicles are free of unreasonable cybersecurity risks. Since these risks are identified during the TARA activity the TARA for any given design is a very important artefact which must be quality assured for completeness and correctness. As part of the development processes, or Cybersecurity Management System, methods and tools have been made available to engineers to describe and aid TARA development, including its review. We foresee that modern AI/ML would be able to automate the review of at least part of the TARA, which is what we want to explore. How much can be AI/ML verified, what is the accuracy of such analysis, what models are suitable, what knowledge bases need to be input to such analysis? These are just some of the interesting questions to can be explored as part of the thesis.
We are now looking for students who are ready to accept challenging tasks within this exciting area. Do you want to be a part of the team that is ensuring the cybersecurity of next-generation commercial vehicles?
Who are you?
Candidates should be in the final year of their master’s studies. Suitable masters’ programmes include Software Engineering, Computer Science, IT. Candidates with equivalent background from other programmes will also be considered. To be considered it is very important that the students have taken relevant courses in AI/ML, and it is highly recommended to point out any AI/ML/LLM experience in the resume.
General programming knowledge is also considered an important skill due to the need to programmatically use AI models, parsing of input material, and produce output reports. As the work environment is highly international, good skills in English, both oral and written, are required.
What you will do:
The thesis work will be carried out at the Volvo Group Trucks Technology campus in Lundby, Gothenburg. Workwise the thesis will be a mix of theoretical and practical programming tasks, as outlined in the bullets below.
- Theoretical study of the state of the art of AI/ML usage for reviewing purposes, as well as analysis of requirements surrounding the TARA process activity.
- Creation of a proposal of suitable AI/ML models and needed knowledge bases to achieve acceptable automated review quality results. Creation of a reference set of inputs and results.
- Proof of concept development & Evaluation of concept.
After a successful thesis project, students will gain experience in the field of automotive E/E system development, and security design. Students will also have an opportunity to gain insights into how research is conducted in the automotive industry.
Practical information:
Thesis level: Masters
Language: English
Starting date: January 2026
Number of students: The thesis is suitable for two students working in collaboration. Please state the name of a preferred thesis partner in the application to make it easier to pair people together and assess a joint application.
Industrial Tutor: From Vehicle Technology at Volvo Group Trucks Technology:
Christian Sandberg, christian.sandberg@volvo.com
Sangeetha Raghu, sangeetha.raghu@volvo.com
Last application date: 9 November, 2025
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Who we are and what we believe in
We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.
Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.
Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.