Master Thesis -Embedded Electronics Engineering

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What we offer:

Group Summary:

• Analyze an existing current measurement solution and understand its technical potential
• Investigating factors that influence measurement accuracy in low-current applications
• Explore and compare different current sensing technologies and measurement approaches
• Design and simulate a potential high-precision measurement solution
• Validate concepts through simulation, laboratory testing and prototyping

• Are pursuing a Master's degree in Electronic Design, Electrical Engineering, Embedded Systems, Engineering Physics,
• Have knowledge of analogue and mixed-signal electronics gained through coursework or projects
• Have a basic understanding of embedded systems and measurement techniques
• Enjoy working with both theoretical analysis and practical problem-solving
• Are interested in precision electronics, signal conditioning, and measurement systems
• Have strong analytical skills and a desire to learn and explore new technologies

Awareness, Unity, Empowerment:

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.

AI-Assisted Screening Disclosure

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.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.