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Magna Linköping Full time

Master Thesis - Failure probability prediction in automotive production

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Master Thesis: Failure probability prediction in automotive production

Magna Electronics develops cutting-edge technology for the Future Car. Our international, agile and highly collaborative teams aim be the leader in Advanced Driver Assistance Systems and to accelerate the growth in Autonomous Driving.

With 7,500 employees in 13 countries, our growing team has the goal to lead the revolution underway in the automotive industry.

Magna Electronics Sweden is located in 4 different cities throughout the country: Vårgårda, Linköping, Stockholm and Skellefteå.

Do you want to be involved in the development of high-tech products that save lives? We offer you good career opportunities in a high-tech company with strong company values, transparency and personal development.


Magna develop ECUs (Electronic Control Units) for the automotive industry.
The Failure Analysis teams analyze ECUs with failures reported, usually the failures are reported from Magna production or the customer.

ECU production verification is a complex process. Only fault free ECUs are shipped to customer, yet some of the ECUs that have passed production verification fail later and are then returned to Magna. Being able to identify potential customer returns already in the Magna production process would be of great value.

The objective of this master thesis is to investigate if a method can be found to, based on production verification logs, identify ECUs that appear to be fault free but are likely to fail in the future. The method can for example be a machine learning algorithm that can find patterns in production verification logs that are hard to spot for humans.

As input, Magna has large quantities of logs, measurements and statistics from produced ECUs. The failure Analysis teams have serial numbers, failure analysis and fault type for each returned ECU. Production verification logs can be found for these specific ECUs.


To get a method for early identification of potential future failing ECUs. Reason for estimated probability may be used to update product design and/or the production process.

 Field: Data analysis, statistics and prediction.

Learning objectives:
  • Production verification
  • Log analysis
  • Failure analysis

Number of student(s): 1

Student background: Computer Science

Extent: 30 credits (Master)

Start: Spring 2024

Location: Linköping

Contact information: Supervisor, Andreas Sennerbrant,

Last application date: 2023-10-31, applications will be evaluated continuously.

Join the Magna Journey

At Magna, our groups work together to deliver advancements in mobility to build a better world for everyone and everything. Magna’s ADAS technologies are shaping an autonomous future and improving lives.

Full autonomy is coming. But to create the technology which will bring it into view, you need the desire and ability to adapt complete ADAS systems or modular solutions to any vehicle, for any mobility need.

Magna’s electronics solutions connect OEMs to their customers with features that improve their lives. It’s our expertise across the entire vehicle, key strategic partnerships and culture of innovation that allow us to make our industry-leading technologies road-ready. And it is how we’ll continue to build a safer, smarter and more connected mobility experience for all people.

Magna Electronics Sweden is located in 4 different cities throughout the country: Vårgårda, Linköping, Stockholm and Skellefteå.

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