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Field
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Build the next generation of railway track health assessment. Job description Railway bridges and the tracks they support are critical components of the railway network, directly affecting safety
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grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
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sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a framework for translating routinely collected monitoring data into actionable
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-induced dynamic behaviour. Transfer functions linking LDV, ABA, TG, and wayside sensor measurements to embankment responses will be derived and validated using field data. These relationships will provide a
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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development through access to conferences and professional networking opportunities. Job requirements MSc degree in Electrical Engineering, Applied Physics, Microwave Engineering, or a related field. Strong
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grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations
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advanced experiments for investigating cryogenics two-phase flow. A second objective is to build cryogenic sensors for heat and flow measurements, in collaboration with the Von Karman Institute (VKI, Belgium
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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crystals. Perform in vivo health monitoring measurements. 25% career promoting work in NTNU NanoLab Cleanroom. Collaborate with an international network of scientific partners. Report research findings in