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Job Description The aim of this PhD project is to investigate the immediate and long-term deformation behaviour of plain and fiber-reinforced concrete using distributed fibre-optical sensing (FOS
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University of Munich (TUM) , focusing on cutting-edge research in digital health, wearable sensing, and embedded artificial intelligence. The Project title is ‘IoT-based Assisted Living’ and the main purpose
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MSc degree (or equivalent) in oceanography, including components of ocean science and engineering Experience in ocean observation technology including remote sensing, in-situ observations and data
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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
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including PhD students and postdocs. Also, a good sense of humor will be appreciated. Good English language skills will be required. The main criterion for selection will be the research potential
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activities in relation to food technology, food chemistry, and food nutrition in a broad sense. Teaching activities will include supervision of student projects at different levels (BSc, MSc, PhD). You will