Research Assistant in Machine Learning for Complex

vor 1 Woche

Winterthur, Schweiz Flexsis Vollzeit

**EINFÜHRUNG**:
For our client located in Winterthur we are looking for a

**Research Assistant in Machine Learning for Complex Industrial Systems 80 - 100 %**:
The earliest start date is 01. July 2024 or by agreement. This is a full/part-time position with a permanent contract.

**AUFGABENBESCHREIBUNG**:

- 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 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 data-driven algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets and infrastructures.
- You will combine engineering knowledge with data-science techniques (physics-informed 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 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.

**ERFORDERLICHES PROFIL**:

- You have a master degree in engineering, physics, computer science, 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.

**Application process**:
Interested? You can find more information here:

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