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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status
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such models in wind simulation settings. You must have a strong academic background from your previous studies and have an average grade from your Master's degree study, or equivalent education, which is equal
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new simulation tools, scalable neural architectures for perception and navigation that generalize across robot types, modeling of light effects underwater, and high-quality underwater datasets, both
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or voice signal processing Experience with physical or numerical modelling and simulation (e.g. finite-element or acoustic modelling, vocal-tract or voice-production models) Good programming skills
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team includes: Prof. Ivan Depina – main supervisor and coordinator, probabilistic modelling, scientific machine learning Prof. Mohamed Hamdy – building performance simulation, building automation
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discretization, and incomplete or noisy observations. Addressing these uncertainties typically relies on ensemble-based simulations using computationally expensive high-fidelity models. This PhD project addresses
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or noisy observations. Addressing these uncertainties typically relies on ensemble-based simulations using computationally expensive high-fidelity models. This PhD project addresses this challenge by
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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model will be fed by existing empirical data on bird flight behavioural responses to wind turbines from various bird radar studies. This model will allow simulation of birds flying within the turbulent
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element simulations, blast loading models, propagation of pressure waves in the ground and soil–structure interaction analyses to establish methods for assessing the protective capacity of existing