31 phd-in-architecture-interior-design-built-environment PhD positions at NTNU Norwegian University of Science and Technology
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PhD candidate in AI-driven ship design, connected to the newly established Norwegian Maritime AI Centre . The position aims to advance how artificial intelligence support ship design processes
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NTNU and the application process here. About the position The aim of this PhD project is to develop explainable physics-informed RNNs for autonomous navigation and neural observer design within
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An interdisciplinary international and inclusive professional environment with excellent experimental infrastructure Career guidance and follow-up during the PhD period Mentor programme as a new employee at NTNU
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» Chemical engineering Physics Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Norway Application Deadline 25 Jan 2026 - 23:59 (Europe/Oslo
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causing severe damage to crops. The PhD candidate will perform full-factorial common garden experiments to test how plant performance is determined by plant genotype, the environment (above- and belowground
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tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and inclusive working environment with committed colleagues Working capital that can
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advantage. Personal characteristics To complete a doctoral degree (PhD), it is important that you are able to: Work both independently and in a team environment, Work in a structured way, set goals and make
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. The approach followed encapsulates Design-Based Research and Responsible Research and Innovation principles. The PhD fellow will engage with designing and evaluating user-centred AI artifacts that support
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to state-of-the-art instruments at NTNU NanoLab and NORTEM Trondheim node Developing tasks in a strong and international professional environment Career guidance and follow-up during the PhD period Open and
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an Integrated PhD study plan[1] You must have some relevant skills and competencies in systems analysis, optimization and/or operations research You must have a strong academic performance from your previous