Overview
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.
• 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.
• 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.
• 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.
• You have experience with applying data analytical and machine learning methods.
• Experience with deep leaning algorithms is advantageous.
• You have high oral and written communication skills in English and preferably also in German.
• 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.
Application process:
Interested? You can find more information here: Infopackage. Please apply via the “Bewerben” button below and answer all questions, otherwise we will be unable to process your application
Company:
Flexsis
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
