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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
of deformation mechanisms and recrystallization processes. The project will focus on understanding and modelling the microstructure evolution during extrusion, with particular emphasis on crystallographic texture
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industry in both acoustics and solar energy. You will gain expertise in experimental acoustics, advanced numerical modelling, sustainable building technologies and performance optimization. Are you motivated
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organizations to develop new expertise, assessment methods, and governance models capable of managing risks across the AI lifecycle. At the same time, Responsible AI principles like transparency, fairness
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the Telemark Canal , focusing on digital twin-based preparedness modelling for cultural heritage infrastructure. The primary objective of the position is to complete a doctoral education leading to a PhD degree
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the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in the Cortex (https
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interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular statistical solvers to integrate domain-specific knowledge directly into latent variable models. Account for
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, the MSCA Doctoral Network project SAILING (https://Secure AI and Digital Twin Empowered Smart Internet-of-Energy ) aims to establish a multidisciplinary network of leading research groups and industrial
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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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 The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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advancing resilient and sustainable infrastructure? As a PhD Candidate with us, you will work toward earning your doctorate while developing strong expertise in probabilistic modelling, structural reliability