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Field
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with researchers and practitioners through the aiD network and related national initiatives. Contribute to the scientific development and collaborative activities of the Data Science research group
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analysing time-series data from smartphone sensors and usage logs using advanced statistical and machine learning approaches to develop personalised nudging and adaptive interventions. The candidate will also
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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
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of the resilience of critical infrastructures in waterfront communities. Fjordlab Ålesund is an important and rapidly growing sensor and observation platform that contain a wealth of data in the domain of met-ocean
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investigate the optimal methods for combining multi-satellite InSAR with a network of Kurloo GNSS devices to provide robust 3D ground motion monitoring from space. The potential benefits may include