Master Thesis: AI-Assisted Runtime abnormality Detection and Debug Guidance

Part of your life. Part of tomorrow.

Wir machen das Leben einfacher, sicherer und umweltfreundlicher, mit Technik, die mehr leistet, weniger verbraucht und für alle verfügbar ist. Mikroelektronik von Infineon ist der Schlüssel für eine lebenswerte Zukunft. Wir achten auf schonenden Umgang mit natürlichen Ressourcen und lösen gesellschaftliche Herausforderungen: Effiziente Energienutzung, umweltgerechte Mobilität und Sicherheit in einer vernetzten Welt. Wir suchen 1 Master Thesis: AI-Assisted Runtime abnormality Detection and Debug Guidance

Job Description: In your new role you will: º Build an AI-based assistant that can º Detects runtime abnormalities automatically, º Highlights unusual activity in waveforms, º Suggests likely root causes to the user, º Reduces debug cycles by 25-40%

Location: Villach

Candidate Profile: You successfully meet the requirements, if you are a motivated and committed student from the field of Information and Communications Engineering or similar. You are best equipped for this task if you additionally offer: º Advanced Academic Foundation: Currently pursuing a Master of Science in Information and Communications Engineering at the University of Klagenfurt, building upon an Engineer Degree in Electrical and Computer Engineering.Proven º Research Expertise: Active as a Student Assistant in the Information and Communication Systems group, with a peer-reviewed publication in WSEAS Transactions on Business and Economics focused on Transformer-based models and machine learning applications.Practical º Industry Experience: Over two years of hands-on experience as a Software Developer designing and deploying AI-powered applications, data analytics platforms, and web solutions within multidisciplinary teams.Strong º Technical Skill Set: Proficient in advanced Python programming, machine learning frameworks like TensorFlow and PyTorch, data visualization tools, and database management systems

This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group D for Master students (https://www.feei.at/wp-content/uploads/2024/04/minimum-salaries-white-collar-workers-2025.pdf).

Contact: Infineon Technologies Austria AG - Student Recruiting [email protected] Das Mindestentgelt für die Stelle als Master Thesis: AI-Assisted Runtime abnormality Detection and Debug Guidance beträgt 2.800,00 EUR brutto pro Monat auf Basis Vollzeitbeschäftigung.