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Student Trainee – AI-Science(m/w/x)

Anton Paar
Graz
ab 2.700 / Monat

You analyze measurement data to identify patterns, developing AI tools and machine learning models that enhance signal detection and automate expert-level interpretations of experimental results.

Anforderungen

  • •Ongoing studies in Computer Science
  • •Solid understanding of AI methods
  • •Experience with Python and ML frameworks
  • •Basic knowledge of signal processing
  • •Proficiency in English; German is a plus
  • •Analytical thinking and abstraction skills
  • •Interest in experimental physics and AI
  • •Independent and structured working style

Deine Aufgaben

  • •Analyze measurement data from analytical instruments.
  • •Identify patterns in plots based on specific characteristics.
  • •Evaluate interpretations of material patterns for AI application.
  • •Investigate limitations of rule-based analysis due to data noise.
  • •Develop AI tools for pattern recognition in measurement results.
  • •Design and train machine learning models for signal pattern detection.
  • •Implement anomaly detection to filter out signal artifacts.
  • •Contribute to an intelligent system for automated result interpretation.

Deine Vorteile

Reliable long-term workplace
Innovative company culture
Value-oriented working environment
Individual training and onboarding
Occasional remote work
Professional and personal development

Original Beschreibung

## 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 ## 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 * 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 ## Additional Information * 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 We offer a fair and market-aligned salary based on the collective agreement for employees in the metal trade – adjusted to the regional conditions of the Styrian labor market. The minimum gross monthly salary for this position is € 2.700 (based on full-time employment). What truly counts for us are your personality, your skills, and the experience you bring. That’s why we take the time to determine your actual gross salary individually and are happy to offer a higher pay in recognition of your qualifications.
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