Master Thesis: AI-Assisted Verification of Production Test Results

Posted 3 Days Ago
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Kumla, SWE
In-Office
Entry level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
We are shaping the future of digital connectivity the world relies on.
The Role
Develop and evaluate a proof-of-concept AI-assisted tool that compares production test results for radio products against requirements. Responsibilities include extracting and reconciling specifications, detecting deviations, combining AI interpretation with deterministic checks, creating test cases, providing source traceability, evaluating accuracy and false findings, and documenting results. The project is conducted with Ericsson engineers and is suitable for one or two Master's students.
Summary Generated by Built In
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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

Skills Required

  • Enrollment in a Master's program in Engineering Physics, Computer Science, Software Engineering, Data Science, Artificial Intelligence, Applied Machine Learning, or a related field
  • Programming experience in Python
  • Interest in applying AI to real industrial engineering challenges
  • Willingness to learn about production testing, radio products, and Ericsson technical processes
  • Ability to work independently and collaborate with supervisors and domain experts
  • Knowledge of RF technology

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Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.

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