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AIAIT

Master Thesis "Meta Learning in Nonlineary Dynamic System Modelling"(m/w/x)

Wien
from 616.44 / month
Part-timeInternshipOn-site
AI/ML
Data Science
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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.

Requirements

  • 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)

Tasks

  • 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

Education

  • Currently in higher education

Languages

  • English – Business Fluent
  • German – Business Fluent

Tools & Technologies

  • Python
  • MATLAB
  • Machine learning

Benefits

Other Benefits

  • Additional company benefits
  • Supportive research environment
  • Insights into interdisciplinary research

Mentorship & Coaching

  • Extensive experience in supervising and guiding master’s theses

Learning & Development

  • Training in scientific work

Startup Environment

  • Close collaboration with experts
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of AIT and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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