Thesis Work: Automated Test Case Generation using AI

ABB
At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we'll give you what you need to make it happen. It won't always be easy, growing takes grit. But at ABB, you'll never run alone. Run what runs the world.
This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we've announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you'll be part of a pioneering team shaping the future of robotics-working alongside world-class experts in a fast-moving, innovation-driven environment.
This Position reports to:
R&D Team Lead
This thesis explores the application of generative AI to automate the creation of test cases from technical requirement specifications. The project aims to investigate how a domain-specific language model, trained on internal documentation, can interpret and transform structured and unstructured requirements into relevant and executable test cases.
The work includes dataset preparation, model fine-tuning, evaluation of output quality, and integration feasibility into existing development workflows. The outcome could significantly enhance efficiency and consistency in the verification process.
Details
Your responsibilities
We are looking for students to explore how generative AI can help automate the creation of test cases from technical requirement specifications. In our development work, these specifications need to be validated, and this thesis investigates whether a language model trained on our internal documents can generate useful test cases. We are open to your ideas and suggestions.
Your background
More about us
ABB is a global technology leader in electrification and automation. We see our purpose as being to enable a more sustainable and resource-efficient future. By connecting our engineering and digitalization expertise, we help industries run at high performance, while becoming more efficient, productive and sustainable so they outperform. We call this: 'Engineered to Outrun.'
Recruiting Manager Åsa Härdner, asa.hardner@se.abb.com, will answer your questions.
Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English. We look forward to receiving your application!
Join us. Be part of the team where progress happens, industries transform, and your work shapes the world. Run What Runs the World.
A Future Opportunity
Please note that this position is part of our talent pipeline and not an active job opening at this time. By applying, you express your interest in future career opportunities with ABB.
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to learn more about us and see the impact of our work across the globe.
This role sits within ABB's Robotics business, a leading global robotics company. We're entering an exciting new chapter as we've announced the plan for SoftBank Group to acquire ABB Robotics. SoftBank is a globally recognized technology group and investor/operator focused on AI, robotics, and next-generation computing. By joining us now, you'll be part of a pioneering team shaping the future of robotics-working alongside world-class experts in a fast-moving, innovation-driven environment.
This Position reports to:
R&D Team Lead
This thesis explores the application of generative AI to automate the creation of test cases from technical requirement specifications. The project aims to investigate how a domain-specific language model, trained on internal documentation, can interpret and transform structured and unstructured requirements into relevant and executable test cases.
The work includes dataset preparation, model fine-tuning, evaluation of output quality, and integration feasibility into existing development workflows. The outcome could significantly enhance efficiency and consistency in the verification process.
Details
- Period: January - June 2026
- Number of credits: 30 ECTS / HP
- Number of students for this thesis work: 1-2 students
- Location: On-site in Finnslätten, Västerås
Your responsibilities
We are looking for students to explore how generative AI can help automate the creation of test cases from technical requirement specifications. In our development work, these specifications need to be validated, and this thesis investigates whether a language model trained on our internal documents can generate useful test cases. We are open to your ideas and suggestions.
Your background
- Master of Science in Robotics, Dependable Systems, Electronics, Computer Science, Embedded Systems or similar
- Basic knowledge in electronics, programming, machine learning, generative language models
More about us
ABB is a global technology leader in electrification and automation. We see our purpose as being to enable a more sustainable and resource-efficient future. By connecting our engineering and digitalization expertise, we help industries run at high performance, while becoming more efficient, productive and sustainable so they outperform. We call this: 'Engineered to Outrun.'
Recruiting Manager Åsa Härdner, asa.hardner@se.abb.com, will answer your questions.
Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English. We look forward to receiving your application!
Join us. Be part of the team where progress happens, industries transform, and your work shapes the world. Run What Runs the World.
A Future Opportunity
Please note that this position is part of our talent pipeline and not an active job opening at this time. By applying, you express your interest in future career opportunities with ABB.
We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to learn more about us and see the impact of our work across the globe.
JOB SUMMARY
Thesis Work: Automated Test Case Generation using AI

ABB
Vasteras
a month ago
N/A
Full-time
Thesis Work: Automated Test Case Generation using AI