18 bayesian-object-tracking PhD positions at NTNU Norwegian University of Science and Technology in Norway
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. It will seek multi-objective optimization (sound insulation, sound absorption, and electricity generation) aiming to integrate renewable-energy technologies into sustainable acoustic design. Focusing
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systems [2]. The objective of the project is the development of high-power hybrid integration concepts and thin film lithium niobate and lithium tantalate photonic integrated circuits to serve as photonic
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with the Concrete group in the Department of Structural Engineering of the Norwegian University of Science and Technology. About the project The primary objective of the project is to lay a foundation
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industry partners to develop new technologies supporting the objectives of the EU Chips Act. The project focuses on strengthening Europe’s capabilities in semiconductor technologies and intelligent computing
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innovation, robust governance and broad capacity building. This PhD fellowship is associated with the centre’s first research cluster, which focuses on Hybrid Intelligence. A key objective of this cluster is
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://www.securel.no About the project The PhD position is associated with Work Package 1 (WP1) in SecurEL, which has the title “Security of electricity supply”. The overall objective for the PhD work is as follows: How
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) is entitled Multiscale and multimodal spectral image acquisition, integration, analysis and visualization. Objectives: This project will develop strategies for the acquisition, integration, analysis
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and research, in and outside academia. We are searching for a creative, skilled, and ambitious candidate for our activities on how we can detect objects at sea using GNSS reflectometry. The same system
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meaningful information about loads, structural response, and aerodynamic conditions. A central objective is to integrate heterogeneous data sources such as SCADA data, structural sensors, and environmental
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circular economy. The primary objective of SFI FAST is to establish the scientific and technological knowledge base required to enable the large-scale use of post-consumer scrap (PCS) aluminium in high-value