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sensing information from key locations on the offshore infrastructure. In this regard, the research will focus on the assessment of the nonlinear structural performance utilizing reliable and
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-matter interactions for applications in sensing, optical communications, and quantum technologies. The scientific environment at our department is vibrant and highly collaborative with world-class
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demonstrating machine polishing processes of complex mould surfaces using compliant polishing tools by implementation of sensing solutions enabling process, tool and surface condition monitoring. The goal is to
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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication