Infineon Technologies Austria AG
8020 Graz,04.Bez.:Lend - Österreich
Informatiker/in (Weiterbildung)
Arbeit
Vollzeit
ab 22.04.2026
Beschreibung
Job Id: HRC1584141
Jobfamilie: Research & Development
Beschäftigungsart:Teilzeit
Vertragsdauer: Befristet
Arbeitsplatztyp: Hybrid
Einsteigen: alsStudent*in/Praktikant*in/Trainee
#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?
Your Role
Key responsibilities in your new... weiter lesen
Jobfamilie: Research & Development
Beschäftigungsart:Teilzeit
Vertragsdauer: Befristet
Arbeitsplatztyp: Hybrid
Einsteigen: alsStudent*in/Praktikant*in/Trainee
#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?
Your Role
Key responsibilities in your new... weiter lesen
Job Id: HRC1584141
Jobfamilie: Research & Development
Beschäftigungsart:Teilzeit
Vertragsdauer: Befristet
Arbeitsplatztyp: Hybrid
Einsteigen: alsStudent*in/Praktikant*in/Trainee
#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?
Your Role
Key responsibilities in your new role
* Data Analysis: Analyze and preprocess large-scale electrical data from production testing, experiments, and verification processes using statistical methods and machine learning techniques to derive insights and optimize workflows
* Software Development: Develop and optimize software to support data processing and machine learning pipelines while maintaining scalability and automation
* Documentation: Create and maintain clear, modular documentation for software and scripts using tools like Jupyter Notebooks, ensuring usability and reproducibility
* Knowledge Sharing: Collaborate and share newly defined approaches in technical papers to foster innovation and knowledge exchange with peers
* Collaboration: Work closely with cross-functional international teams, gaining exposure to diverse expertise and best practices
Further Information
Type of employment: Temporary / Part-time or Full-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)
Duration: min. 12 months
Master Thesis topics might be available if requested
Your Profile
Qualifications and skills to help you succeed
* Education: You are a motivated and committed student, ideally pursuing a master's degree in Computer Science, Mathematics, Statistics, Data Science & AI, or similar fields
* Working Style: A self-driven working style and a strong interest in optimizing workflows using data
* Programming Skills: Proficiency in Python (experience with machine learning libraries preferred), and familiarity with R or MATLAB as a plus
* Experience: Experience in data processing workflows, feature engineering, and training or evaluating ML models. A solid foundation in descriptive, inferential, predictive, and prescriptive statistics
* Soft Skills: The ability to clearly communicate complex data science concepts in presentations or reports. Strong collaboration skills, with a passion for working in teams across different fields
* Language Skills: Good communication skills in English (German is a plus)
This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group B for bachelor students, employment group D for master students (https://www.feei.at/wp-content/uploads/2024/04/minimum-salaries-white-collar-workers-2025.pdf%29.
Please attach the following documents (German or English) to your application:
* CV
* Certificate of matriculation at a university
* Latest Transcript of records (not older than 6 months)
* Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students)
* Reference letter (optional)
* Motivation letter (optional)
Apply to this position online by following the URL and entering the Job ID in our job search. https://www.infineon.com/jobs
Jobfamilie: Research & Development
Beschäftigungsart:Teilzeit
Vertragsdauer: Befristet
Arbeitsplatztyp: Hybrid
Einsteigen: alsStudent*in/Praktikant*in/Trainee
#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?
Your Role
Key responsibilities in your new role
* Data Analysis: Analyze and preprocess large-scale electrical data from production testing, experiments, and verification processes using statistical methods and machine learning techniques to derive insights and optimize workflows
* Software Development: Develop and optimize software to support data processing and machine learning pipelines while maintaining scalability and automation
* Documentation: Create and maintain clear, modular documentation for software and scripts using tools like Jupyter Notebooks, ensuring usability and reproducibility
* Knowledge Sharing: Collaborate and share newly defined approaches in technical papers to foster innovation and knowledge exchange with peers
* Collaboration: Work closely with cross-functional international teams, gaining exposure to diverse expertise and best practices
Further Information
Type of employment: Temporary / Part-time or Full-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)
Duration: min. 12 months
Master Thesis topics might be available if requested
Your Profile
Qualifications and skills to help you succeed
* Education: You are a motivated and committed student, ideally pursuing a master's degree in Computer Science, Mathematics, Statistics, Data Science & AI, or similar fields
* Working Style: A self-driven working style and a strong interest in optimizing workflows using data
* Programming Skills: Proficiency in Python (experience with machine learning libraries preferred), and familiarity with R or MATLAB as a plus
* Experience: Experience in data processing workflows, feature engineering, and training or evaluating ML models. A solid foundation in descriptive, inferential, predictive, and prescriptive statistics
* Soft Skills: The ability to clearly communicate complex data science concepts in presentations or reports. Strong collaboration skills, with a passion for working in teams across different fields
* Language Skills: Good communication skills in English (German is a plus)
This position is subject to the collective agreement for workers and employees in the electrical and electronics industry (full-time), employment group B for bachelor students, employment group D for master students (https://www.feei.at/wp-content/uploads/2024/04/minimum-salaries-white-collar-workers-2025.pdf%29.
Please attach the following documents (German or English) to your application:
* CV
* Certificate of matriculation at a university
* Latest Transcript of records (not older than 6 months)
* Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students)
* Reference letter (optional)
* Motivation letter (optional)
Apply to this position online by following the URL and entering the Job ID in our job search. https://www.infineon.com/jobs
Ref-Nr.: 10480960
Aktualisiert:
23.04.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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