Dein persönlicher KI-Karriere-Agent
Master Thesis "Meta Learning in Nonlineary Dynamic System Modelling"(m/w/x)
Investigating meta learning for nonlinear dynamic system modeling in low-data scenarios. Simulation-based validation environment design and analysis of adaptability required. Supportive research environment, insights into interdisciplinary research.
Anforderungen
- Design and develop simulation-based validation environment
- Analyse and compare adaptability and efficiency of approaches
- Optional application and validation on real-world valve test bench
- May publish results in scientific journal and present at conference
- Ongoing master's studies in electronics, technical mathematics, technical informatics, data science, or comparable technical field
- Enjoyment of application-oriented industry questions
- Good knowledge in Python or MATLAB
- Good knowledge of machine learning
- High commitment and team spirit
- Very good English or German skills (spoken and written)
Aufgaben
- Investigate meta learning techniques
- Adapt models in low-data scenarios
- Reduce end-of-line commission times
- Support data-driven modeling
- Identify nonlinear dynamical systems
- Familiarize with state-of-the-art transfer learning
- Conduct structured literature review
- Re-implement reference methods
- Evaluate selected methods
- Use Python or MATLAB
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- MATLAB
- Machine learning
Benefits
Sonstige Vorteile
- Additional company benefits
- Supportive research environment
- Insights into interdisciplinary research
Mentoring & Coaching
- Extensive experience in supervising and guiding master’s theses
Weiterbildungsangebote
- Training in scientific work
Startup-Atmosphäre
- Close collaboration with experts
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Master Thesis "Meta Learning in Nonlineary Dynamic System Modelling"(m/w/x)
Investigating meta learning for nonlinear dynamic system modeling in low-data scenarios. Simulation-based validation environment design and analysis of adaptability required. Supportive research environment, insights into interdisciplinary research.
Anforderungen
- Design and develop simulation-based validation environment
- Analyse and compare adaptability and efficiency of approaches
- Optional application and validation on real-world valve test bench
- May publish results in scientific journal and present at conference
- Ongoing master's studies in electronics, technical mathematics, technical informatics, data science, or comparable technical field
- Enjoyment of application-oriented industry questions
- Good knowledge in Python or MATLAB
- Good knowledge of machine learning
- High commitment and team spirit
- Very good English or German skills (spoken and written)
Aufgaben
- Investigate meta learning techniques
- Adapt models in low-data scenarios
- Reduce end-of-line commission times
- Support data-driven modeling
- Identify nonlinear dynamical systems
- Familiarize with state-of-the-art transfer learning
- Conduct structured literature review
- Re-implement reference methods
- Evaluate selected methods
- Use Python or MATLAB
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Python
- MATLAB
- Machine learning
Benefits
Sonstige Vorteile
- Additional company benefits
- Supportive research environment
- Insights into interdisciplinary research
Mentoring & Coaching
- Extensive experience in supervising and guiding master’s theses
Weiterbildungsangebote
- Training in scientific work
Startup-Atmosphäre
- Close collaboration with experts
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
AIT
Branche
Research
Beschreibung
AIT is Austria's largest research and technology organization for applied research, developing innovative solutions.
Noch nicht perfekt?
- AIT Austrian Institute of Technology
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