Research Assistant in Machine Learning for Complex

vor 1 Woche

Winterthur, Zürich, Schweiz ZHAW Zürcher Hochschule für Angewandte Wissenschaften Vollzeit
Are you excited to contribute to state-of-the-art research in data science and machine learning?Are you equally excited to see your research results implemented in industry?Are you fascinated by understanding engineered technical machines and combining this with deep learning techniques?

School:
School of Engineering

Starting date:
The position is limited to one year but may be extended, up to a maximal period of three years)

Your role*:

  • As part of our research team, you will take a central role in applied research projects in the field of conditionbased and predictive maintenance.
  • You will develop innovative approaches using state of the art statistical, machine learning and deep learning methods and publish your outcomes in scientific papers.
  • You will develop and implement datadriven algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets and infrastructures.
  • You will combine engineering knowledge with datascience techniques (physicsinformed machine learning).
  • 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 cosupervise student research projects.
  • You will be supported by experienced colleagues from the team in order to further develop you technical and scientific skills.
  • Your daily work will typically allow for a high level of flexibility and freedom.


In our team you will enjoy an exciting and rewarding working environment, combining close industrial collaboration with multidisciplinary innovative research.


The position is limited to one year but may be extended, up to a maximal period of three years.

Your profile*:

  • You have a master degree in engineering, computer science, physics, statistics, applied mathematics or a related discipline.
  • 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.
  • Experience with deep leaning algorithms is advantageous.
  • You have high oral and written communication skills in English and preferably also in German.
  • You are motivated to develop your personal research skills, coached by experienced researchers.

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