Master Thesis: Generative AI Test Chain
Ericsson ABNy
Sammanfattning
This master thesis project at Ericsson focuses on exploring innovative methods for designing, implementing, and automating test cases in software development, particularly in light of generative AI advancements. Located in Lund, Sweden, the role allows for significant freedom in defining research areas, including optimizing testing tools and assessing the return on investment for proposed changes. Candidates will gain hands-on experience in a collaborative environment aimed at pushing the limitsDet här erbjuder vi
Opportunity to work on innovative projects in a collaborative environment.Chance to push the boundaries of technology and problem-solving.Encouragement of diverse and inclusive work culture.
Ansök senast: Öppet tillsvidare
Publicerad: 2026-10-14
Beskrivning
Join our Team
About this opportunity
When working with large scale soft ware development it is common to have a test chain before committing the product delivery. A common concept is to try to test as much as possible at an early as possible in the test chain and leave the more time consuming and expensive testing to the later stages in the test chain. Some of the previously dominant ways of thinking around test chains are now revisited as generative AI tools and agentic approaches are making its way into the software development flows. This master thesis project intends to look broadly on methods for designing, implementing, executing, assessing, automating and deploying test cases for quality assurance.
What you will do
This Master Thesis aims to investigate the current ways of working and the tools supporting it and compare that with what it might potentially be.
You will have freedom to define areas of exploration within the project. These could include, but are not limited to:
Creating or improving tooling to optimize the flow of testing.
Create a best-in-class scenario from a theoretical perspective studying what others have done.
Deep dive into one of the tools or phases to study that in detail
Investigate return of investment for any suggested changes
The skills you bring
Currently pursuing a Msc in Computer Science, Electrical Engineering, or a related field.
Experience in at least one programming language
Eagerness to learn and explore new concepts.
Bonus: experience in Generative AI and telecom
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Lund
Req ID: 792233
About this opportunity
When working with large scale soft ware development it is common to have a test chain before committing the product delivery. A common concept is to try to test as much as possible at an early as possible in the test chain and leave the more time consuming and expensive testing to the later stages in the test chain. Some of the previously dominant ways of thinking around test chains are now revisited as generative AI tools and agentic approaches are making its way into the software development flows. This master thesis project intends to look broadly on methods for designing, implementing, executing, assessing, automating and deploying test cases for quality assurance.
What you will do
This Master Thesis aims to investigate the current ways of working and the tools supporting it and compare that with what it might potentially be.
You will have freedom to define areas of exploration within the project. These could include, but are not limited to:
Creating or improving tooling to optimize the flow of testing.
Create a best-in-class scenario from a theoretical perspective studying what others have done.
Deep dive into one of the tools or phases to study that in detail
Investigate return of investment for any suggested changes
The skills you bring
Currently pursuing a Msc in Computer Science, Electrical Engineering, or a related field.
Experience in at least one programming language
Eagerness to learn and explore new concepts.
Bonus: experience in Generative AI and telecom
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Lund
Req ID: 792233
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Master Thesis: Generative AI Test Chain
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OM FÖRETAGET
Ericsson AB
