Master Thesis: AI-Assisted Verification of Production Test Results New

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About this opportunity:

When developing new radio products, production test results must be reviewed to ensure that they meet the defined requirements. Today, this verification is largely done manually, which can be time-consuming and make deviations harder to detect.

In this thesis, you will explore how AI can support Ericsson engineers by collecting relevant requirements, comparing them with test results, and highlighting possible deviations. The project will combine AI-based methods with reliable rule-based checks to create a verification process that is efficient, accurate, and traceable.

The project is suitable for one or two students. If the project is carried out by two students, there may be an opportunity to include an additional extension related to verification or data consistency. The final scope will be decided together with the supervisors at the beginning of the thesis.

What you will do:

You will develop and evaluate a proof-of-concept AI-assisted tool for a selected radio product. The tool will help Ericsson engineers verify production test results against the governing requirements and identify deviations more efficiently.

Your work will include:

Extracting and reconciling requirements from relevant specifications and test documentation

Comparing requirements with reported production test results

Detecting and reporting deviations

Providing traceability to the relevant source requirement

Combining AI-based interpretation with deterministic, rule-based checks

Preparing test cases with correct results and known or deliberately introduced deviations

Evaluating detection accuracy, false findings, traceability, repeatability, and reduction in manual effort

Documenting the solution, limitations, results, and recommendations

The project will be carried out together with Ericsson engineers. For a two-student project, an optional extension related to verification or data consistency may also be included.

The skills you bring:

We are looking for a Master’s student who:

Is enrolled in a Master’s programme in Engineering Physics, Computer Science, Software Engineering, Data Science, Artificial Intelligence, Applied Machine Learning, or a related field

Has experience programming in Python

Is interested in applying AI to real industrial engineering challenges

Is willing to learn about production testing, radio products, and Ericsson’s technical processes

Can work independently and collaborate with supervisors and domain experts

Knowledge of RF technology is considered an advantage.

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) || Kumla

Req ID: 790653