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, around a hundred PhD students and almost as many other staff such as master's students, post-docs and visiting professors, G2Elab is a major player in these fields at national and international level, at
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partnership with the German Federal Waterways Engineering and Research Institute (BAW); building a fully coupled model that simulates surface hydraulics and subsurface flow with relevant turbulence models and
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seasonal emissions such as winter CH4 emissions, using AI tools to develop upscaling tools or upscale to circumpolar region, or using climate modeling such as the Norwegian Earth System Model to constrain
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, or using climate modeling such as the Norwegian Earth System Model to constrain models and observations. Your immediate leader will be the Head of Department. About the project The PhD candidate will join
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-assisted simulation framework by providing accurate high-fidelity numerical data for training and validation of surrogate models for multi-disciplinary design and optimization. · Participating in
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: estimation theory (state observers, parameter identification), adaptive control, model predictive control, modelling and simulation, machine learning. Practical experience with the above. Personal
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(FEUP), under the scientific supervision of Professor Doctor Ana Rita Lado Teixeira Ribeiro. Grant duration: Initial duration of 4 months, with the predicted starting date in October 2025, on an exclusive
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copy the link to this scholarship website into Question 2 of the Financial Details section. About the scholarship This PhD project will contribute to the development and optimisation of a Paediatric Post
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Computer Vision There is growing trend towards explainable AI (XAI) today. Opaque-box models with deep learning (DL) offer high accuracy but are not explainable due to which there can be problems in
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of smart technologies to visualize yard operations in a digital form (such as virtual models and digital twins). Smart technologies can collect, analyze, and represent data from various sources