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30th March 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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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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modelling and monitoring such complex systems. However, the ongoing energy transition also introduces significant uncertainty due to fluctuating renewable generation, dynamic demand, and increasingly complex
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. Strong analytical skills and fundamental knowledge in mathematical modeling of robotic systems, mechanics, kinematics and dynamics, control Solid background or experience in programming in C++, MATLAB
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
) or higher in the final MSc project is also required. Strong analytical skills and fundamental knowledge in mathematical modeling of robotic systems, mechanics, kinematics and dynamics, control, communication
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candidates within Modelling Strength and Failure in Recycled AluminiumAlloys funded through the Centre for Research-based Innovation SFI FAST – Future Aluminium Structures. The positions are linked
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outcomes Synthetic data generation (virtual patients) Statistical model checking to ensure statistical correctness of the results Machine learning–based classification and regression methods The candidate
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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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modelling? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, both in
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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