Thesis: Evaluation of an AI based Systems Engineering & Safety Assurance Platform
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
Automated driving is likely the next revolution to improve the productivity and safety of the on- and off-road vehicle transport system.
When developing automated driving systems, it is beneficial to follow best practices within systems engineering such as those described by INCOSE. When developing safety-critical functionality, certain safety analysis shall also be performed. Historically that kind of work relies on manual and time-consuming work. With the recent abundance of AI based tools and platforms, there is an opportunity to automate a lot of that work and let the engineers focus on tasks not well-suited to be automated. However, great care is needed to verify the produced work from those kinds of tools.
The main objective of this thesis is to evaluate such an AI based platform. The platform can support tasks such as requirement management, safety analysis, safety case argumentation, verification and validation.
Purpose
The purpose of this thesis is to contribute to the research, evaluation, and further development of the Requirements Engineering and Safety Analysis Tool. The project aims to enhance automation in requirement refinement, safety analysis integration, and standards compliance validation throughout the V-model lifecycle. This work will apply principles from systems engineering, functional safety, and artificial intelligence (AI/NLP) to improve automation, consistency, and traceability in requirement management and safety assurance.
The project will be performed locally in a secure sandbox environment using a trained Large Language Model (LLM), ensuring data protection and controlled experimentation.
Objectives
The objectives of this thesis are to:
- Evaluate the current tool to identify which tasks it effectively supports and where limitations exist.
- Propose targeted improvements that enhance the tool’s capability, precision, and usability in the context of systems and safety engineering.
- Demonstrate how the tool can be integrated into Volvo’s daily engineering workflow, supporting requirement refinement, safety analysis, and compliance assessment activities.
Scope and Method
The scope of the thesis encompasses both theoretical study and applied evaluation. The work will involve:
- Conducting a literature review of existing tools and research supporting systems engineering, requirements management, and safety analysis.
- Performing an empirical evaluation of the AI-based platform using real industrial data provided by Volvo. The analysis will include defining and applying quantitative and qualitative metrics to assess requirement quality, consistency, and automation performance.
- Identifying improvement opportunities for enhanced requirement processing, safety linkage, and compliance mapping
Documenting all findings, methodologies, and recommendations in a comprehensive final thesis report, outlining both scientific contributions and practical implications for industry adoption.
Research Question-
How effectively can an AI-based Systems Engineering and Safety Assurance platform automate and enhance requirement management, safety analysis, and compliance validation within the V-model lifecycle for automated driving systems?
Who you are
To excel in this thesis a strong interest in AI, systems engineering or both is beneficial. Suitable background is computer science, electrical engineering, mechatronics or similar. Programming experience from Python is good to have.
The duration of the work will be 20 weeks / 30 ETCs for 1 student on master level or 2 students working together on bachelor level. The work will be carried out at Volvo.
Contact information Volvo:
Ayush Ghosh, ayush.ghosh@volvo.com
Christoffer Markusson, christoffer.markusson@volvo.com
Last application date: 28th of November
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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.
Part of Volvo Group, Volvo Autonomous Solutions accelerates the development, commercialization and sales of autonomous transport solutions, focusing on defined segments for the on- and off-road space. The combination of strong tech expertise and skilled customer solutions creates innovative transport offers never seen before. We are constantly pushing our own skills and ability to drive change in a traditional industry to meet a growing customer demand. We are now looking for innovative, committed individuals to join us in our endeavor to create customer solutions that enhance safety, flexibility and productivity.