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At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.
Testing automotive Electronic Control Units (ECUs) is a complex engineering challenge. Modern electronic systems operate under countless combinations of voltages, temperatures, power cycles, restart sequences, and system loads.
Since it is impossible to test every possible operating condition, engineers must identify the most effective test scenarios to uncover hidden weaknesses and potential failures.
In this thesis project, you will investigate how available design and reliability data can be used to recommend test strategies that maximize the likelihood of detecting faults in ECU designs.
The project will focus on establishing relationships between:
Using available engineering data, you will evaluate whether a method can be developed to automatically recommend optimized test cases and operating conditions for fault detection.
Throughout the project, you will collaborate with subject matter experts and gain insight into real-world automotive verification and reliability challenges.
The objective of this thesis is to develop and evaluate a methodology for recommending test strategies and test conditions that increase the probability of revealing faults and weaknesses in automotive ECU designs.
Expected deliverables include:
The results have the potential to improve both verification efficiency and product reliability while reducing the risk of undetected design weaknesses.
You are a curious and motivated student with a strong analytical mindset and an interest in solving technical challenges. You enjoy learning new technologies, taking initiative, and collaborating with others to find innovative solutions. Most importantly, you are eager to apply your academic knowledge to a real-world engineering challenge within the automotive industry.
We are looking for students who:
If you have any questions regarding the thesis project, please contact Talent Acquisition Partner Per Lind, per.lind@magna.com or Manager, Morgan Mathiesen, morgan.mathiesen@magna.com
Last application date: 2026-10-15. Please note that we review applications on an ongoing basis and the position may be filled before last application date.
Start: Spring 2027, 30 p Master
Number of Students: 1
Learn More About Magna
Want to learn more about Magna, our operations in Sweden, and how we work with recruitment, onboarding and employee development?
Visit our career page:
https://www.magna.com/careers/sverige
At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Student / Co-Op
Magna Electronics
We see a future where everyone can live and move without limitations. That’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people.
Forward. For all.
Our common shares trade on the Toronto Stock Exchange (MG) and the New York Stock Exchange (MGA). For further information about Magna, visit www.magna.com.
