Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Salary
- from 2.700 € Gross/Month
- Location
- Graz
- Working Model
- Onsite
Job Summary
In this role, you analyze measurement data from high-precision instruments and develop AI-supported tools for pattern recognition. Your main task is to apply machine learning to identify anomalies and simulate expert evaluations.
Job Technologies
Your role in the team
- 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
- 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.
Experience
- Experience with Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Food & Drink
Job Locations
Location Graz
Anton-Paar-Straße 20
8054 Graz
Austria
Topics that you deal with on the job
This is your employer
Anton Paar GmbH
Wundschuh, Graz
At Anton Paar, we develop and produce precision laboratory equipment as well as highly accurate process measurement technology. We also provide tailored automation and robotics solutions.
Description
- Founding year
- 2009
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.5
Engineering
2.8Career Growth
3.5Workingconditions
3.8Culture
3.8
Student Employee AI Science
- Salary
- from 2.700 € Gross/Month
- Location
- Graz
- Working Model
- Onsite
