17 modeling-and-simulation PhD positions at NTNU Norwegian University of Science and Technology in Norway
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of Engineering. Join a renowned research team dedicated to pushing the boundaries of testing, modelling, and simulation of the next generation of energy-absorbing materials and structures. Duties of the position
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short fiber thermoplastic composites Develop and validate numerical models and simulations to predict material and component performance Be prepared for changes to your work duties after employment
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theory (state observers, parameter identification), mathematics of partial differential equations, modelling and simulation, machine learning/reinforcement learning. Experience with design of state- and
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for Energy Technology, IFE). Duties of the position Carry out research of high quality within the scope described above. Develop mathematical models and computer code for optimization and simulation of energy
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of the position System design and architecture of photonic integrated microwave system Design and modelling of electronic and photonic subsystems and numerical simulations Photonic chip design and tape-out in
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. This implies hydrodynamic modelling, including numerical simulations. We are looking for a skilled person with basic knowledge of hydrodynamics/fluid mechanics and who is motivated for working with modelling
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their longevity and conducting effective condition assessments. The lack of established physics-based ageing models for extruded HVDC cables presents a challenge in ensuring their long-term reliability. While
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application process here. About the position Become a PhD within fire safety and CFD modelling of fire development. Fires cause deaths and injuries, economic and heritage losses and environmental harm. The risk
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designs with respect to these drivers Establish which assessments, simulations, or calculations are needed—and how to perform them effectively Define the models and data necessary to support these processes
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-service data from modern ships. Improving and/or further developing ship performance models by combining data driven framework with first-principle physics (i.e., conventional methods for prediction