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your PhD project, topic, method, theoretical approach, and why this course will be relevant for your project. About the programme The PhD programme in Innovation for Sustainability is based
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with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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systems. By combining microclimate modelling, remote sensing data, and data-driven methods, the results are integrated into a Digital Twin framework. The research will support predictive risk assessment and
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national AI centre led by NTNU. NCEI advances research on how intelligence emerges from the interaction between body, computation, and environment, across aerial, ground, and aquatic robotic systems. The PhD
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complementary and synergic methods at the intersection of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation
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from material to structural level based on theoretical, numerical and experimental investigations. The Concrete group is involved in several national and international research projects, it has a close
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is NTNU NTNU is a broad-based university with a
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(Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract
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systems, bit design, drilling fluids, and downhole thermodynamics, this position will contribute to new methods that improve drilling efficiency, reduce costs, and support the development of deep geothermal