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application process here. About the position The Department of Mechanical and Industrial Engineering is seeking a motivated PhD candidate to join our materials and manufacturing (M&M) research team
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, while they are firmly anchored in modern theory. The Department offers programmes in automation engineering, computer engineering, electric power systems, simulation and visualization. Our research areas
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, and reinforcement learning for adaptive decision-making. A key aim is to connect wireless phenomena to learning robustness by combining physical-layer signal structure and signal-processing insights
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subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing
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maritime activities, as well as the shortage of crew and engineers, are key drivers for change in the maritime sector. At the same time, there is a pull for growth, increased efficiency and profitability
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Experience with risk analysis, process safety, or safety engineering. Familiarity with accident databases, modelling of complex systems, or network analysis. Experience with scientific writing and conference
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engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one
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you have a background in Electric Power Engineering, and are you interested in power system stability and control? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same
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throughout food production value chain Human Digital Twins; Industry 4.0 and 5.0. System engineering and socio-technical systems AI-supported adaptive continuous learning Industrial cybersecurity, supply chain
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years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Materials Science and Engineering (https://www.ntnu.edu/studies/phmt) within three months