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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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23 Feb 2026 Job Information Organisation/Company Norwegian University of Life Sciences (NMBU) Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
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on physics-based computational modelling. Key activities include crystal-plasticity-based finite-element (CPFE) simulations, unit-cell and microstructure-resolved models, and the development of modelling
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, solid mechanics, and mechanics of materials Experience from numerical simulations, preferably finite element analysis Excellent written presentation skills and oral English language skill PLEASE NOTE: For
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element methods. Knowledge of aluminium alloys Experience using non-linear finite element software, e.g., Abaqus. Experience with programming using Python and Fortran. Experience with conducting
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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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world. You will find more information about working at NTNU and the application process here. About the position Studies of phase formation, evolution of microstructure and casting defects in high
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of the position. The successful candidate will have a solid theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization
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suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme Excellent oral and written presentation skills in English Solid knowledge in finite element
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materials is deemed advantageous. Experience with numerical simulations (e.g., Finite Element, Finite volume, and other techniques) and programming (e.g., Python and MATLAB) is deemed advantageous. Experience