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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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validation; proficiency in Python and scientific computing, including experience with finite element methods, preferably using FEniCS or DOLFINx; strong analytical and communication skills, with the ability
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are linked to research on composite hydrogen tanks, composite propellers for drones and finite element modelling of textile manufacturing. All research will be conducted with leading companies in
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experience with HHG sources are a plus but not critical. Knowledge of programing languages such as Python (and with finite element simulations specifically) would be also valuable.
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aluminium in high-value products produced by mega-casting. The main objective of the PhD project is to develop a finite element analysis (FEA) framework that can accurately predict the mechanical properties
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. - Develop new nonlinear finite element models to address key data gaps in steel component behavior. - Translate findings into technical guidance that informs seismic design for damage control, post
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": based on the microlocal analysis of the problem, an efficient alternative to the standard Finite Element approach can be designed. The main aim of this postdoctoral project will be to adapt the methods
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, finite element simulation tools, path planning and slicing tools, etc.). Deep enthusiasm for conducting original research in an interdisciplinary and international team and strive for scientific excellence