PhD in Deep Learning for Acoustic Diagnostics and Prognostics of Complex Systems 100 %

Vor 3 Tagen


Winterthur, Schweiz ZHAW Vollzeit
Your role
  • You will develop innovative approaches using state of the art statistical, machine learning and deep learning methods algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets.
  • You will closely collaborate with our industry partners in order to implement your algorithms in the operational environment.
  • 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
  • You have programming experience in Python. Experience with TensorFlow and 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

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