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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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-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
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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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part of the Drug Delivery and Sensing (IDUN) section at DTU Department of Health Technology. Furthermore, the PhD project is in close collaboration with the adjuvant research team at The Department
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efforts in materials physics and design, quantum optics, sensing and communication, biophysics, plasma physics, and continuum physics. Our research impacts society with new sustainable energy technologies