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Company Description
Anton Paar develops, produces, and distributes highly precise measuring instruments and automation and robotics solutions worldwide. Innovation, combined with craftsmanship and a genuine passion for research, forms the foundation of our success and drives everything we do.
We are looking for a motivated student trainee (f/m/x) to support our development team in integrating AI features and contributing to the development of high-precision analytical instruments.
Job Description
#GreatPeople|GreatInstruments #since1922 #AntonPaar
We do not accept applications via personnel service providers or recruitment agencies and ask all interested parties to submit their documents directly via our career site.
Applications via personnel service providers will not be processed. As a matter of principle, we also do not hire temporary workers, but build on long-term, direct employment relationships.
Anton Paar develops, produces, and distributes highly precise measuring instruments and automation and robotics solutions worldwide. Innovation, combined with craftsmanship and a genuine passion for research, forms the foundation of our success and drives everything we do.
We are looking for a motivated student trainee (f/m/x) to support our development team in integrating AI features and contributing to the development of high-precision analytical instruments.
Job Description
- Analyze measurement data represented as x-y plots generated by high-precision analytical instruments
- Identify material-specific patterns within the plots based on the shape, position, area, and extent of characteristic lines
- Evaluate expert-driven interpretations of material patterns and derive a basis for the decision of the most powerful AI-method to be applied
- Investigate the limitations of purely rule-based or automated analysis due to noise, slope variation, and non-ideal data characteristics
- Develop AI-supported tools for pattern recognition in measurement results to mimic expert evaluation
- Design and train machine learning models to detect and classify known material-specific signal patterns
- Implement anomaly detection methods to distinguish and filter out non-genuine signal artifacts from real measurement data
- Contribute to the creation of a robust, intelligent system for automated, expert-level interpretation of experimental results
- Ongoing studies in Computer Science, Data Science, Physics, Electrical Engineering, or a related technical field
- Solid understanding of AI methods and concepts, especially in pattern recognition and classification
- Experience with Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Basic knowledge of signal processing and handling of experimental data
- Proficiency in English; German is a plus
- Analytical thinking and the ability to abstract expert decision-making into algorithmic models
- Interest in working at the interface between experimental physics, data science, and AI
- Independent, structured, and reliable working style
- A reliable and long-term workplace in our expanding and international high-tech company
- An innovative company culture that promotes technical excellence guaranteeing us the position of a technological leader in the global market
- A value-oriented working environment that fosters friendly, supportive cooperation between colleagues and, at the same time, provides room for involvement, dedication and individual responsibility
- Individual training and onboarding
- Work Outside Office (occasion-related possibility to work outside the office)
- Professional and personal development
#GreatPeople|GreatInstruments #since1922 #AntonPaar
We do not accept applications via personnel service providers or recruitment agencies and ask all interested parties to submit their documents directly via our career site.
Applications via personnel service providers will not be processed. As a matter of principle, we also do not hire temporary workers, but build on long-term, direct employment relationships.
Key Skills
Ranked by relevance
ai
machine learning
tensorflow
pytorch
python
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- Posted
- Aug 01, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Graz
- Company
- Anton Paar
Industries
Mechanical Or Industrial Engineering
Categories
Research
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3 roles aligned with this opportunity
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