Master Thesis - AI-Based Condition Monitoring for Drive Systems iv)

#WeAreIn to create tiny chips and big careers. The future won't wait... why should you? Join us and make a difference. Whether you join as a student, intern, or trainee, you'll be part of something real - real projects, real impact, and real opportunities to grow. Are you in?, * Keep the overview: Familiarization with existing drive system architectures and Simulink models

• Experience research: Development of simulation scenarios and generation of synthetic datasets through systematic parameter variation
• Data is everything: Data preprocessing, feature extraction, and labeling for machine learning applications
• Reliable work: Development, training, and evaluation of AI/ML algorithms for condition monitoring
• Take responsibility: System validation, performance analysis, and evaluation of the overall solution
• Holistic overview: Documentation and presentation of technical results, Please attach the following documents to your application:
• CV in English
• Certificate of enrollment at university
• Excerpt of the study regulations for the thesis (if applicable)
• Latest grades transcript (not older than 6 months)
• High school report

Contact: Mafalda Porto

#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in?

• Study field: Studies in Electrical Engineering, Power Electronics, Mechatronics, Computer Engineering, or a related field
• Knwoledge: Good knowledge of MATLAB/Simulink. Knowledge of power electronics and motor drive systems is an advantage
• Skills: Basic programming skills in Python and/or C/C++. Strong analytical and problem-solving skills
• Interests: Interest in Artificial Intelligence, Machine Learning, and Embedded Systems
• Language skills: Fluent in English. German is a plus

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