Research Assistant in Machine Learning for Complex Industrial Systems 80

vor 4 Wochen


Winterthur, Schweiz ZHAW Vollzeit
Your role
  • As part of our research team, you will take a central role in applied research projects in the field of AI for intelligent maintenance systems. 
  • You will develop and implement data-driven algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets and infrastructures. 
  • You will closely collaborate with our industry partners in order to implement your algorithms in the operational environment.
  • You will have a chance to work on projects in diverse application fields with various industry partners.
  • The focus of your work will be on algorithm research and development, with relatively little data management/engineering.
  • You will have the opportunity to co-supervise student research projects.
  • You will be supported by experienced colleagues from the team in order to further develop your technical and scientific skills. 
  • Your daily work will typically allow for a high level of flexibility and freedom. 
Your profile
  • Alternatively, you have a bachelor degree in one of the above with practical experience in applied data science projects. 
  • You have programming experience in Python. Experience with TensorFlow and Keras/PyTorch is an advantage.
  • You have experience with applying data analytical and machine learning methods.
  • Experience with deep leaning algorithms is advantageous. 
  • You are curious to learn and develop new methods and algorithms and apply them in real industrial systems.
  • You are motivated to develop your personal research skills, coached by experienced researchers. 
This is what we stand for Das bieten wir an

Wir bieten hochschulgerechte Arbeits- und Anstellungsbedingungen an und fördern aktiv die Personalentwicklung unserer Mitarbeitenden und Führungspersonen. Eine detaillierte Beschreibung der Vorteile ist auf der Webseite  zu finden. Hier die wichtigsten Eckpunkte:



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