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, Aeronautical, Civil, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills: Fluid mechanics; desirable: wall-bounded shear flows, aerodynamics. Numerical analysis, in particular Computational
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are particularly suitable for a PhD education. You must meet the requirements for admission to the doctoral program from the Faculty of Engineering (https://www.ntnu.edu/studies/phiv ) You must be
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parametric and stochastic analysis techniques will be developed, that will certainly find wider applications in structural dynamics. We are looking for a PhD student holding a MSc degree in Civil
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workflows for descriptor based microstructure reconstruction to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis to establish structure–property
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are special requirements: a) proven experience in the scientific area of this international selection tender of at least 1 year after conclusion of a PhD degree. b) Experience in artificial intelligence applied
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
solving complex inverse problems that link measurements to their underlying causes. This PhD interdisciplinary programme focuses on Bayesian methods for estimating physical parameters from high-dimensional
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, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/ . To learn
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 19 days ago
such as catalysis, molecular recognition, and self-organization. Numerous studies have demonstrated that mineral surfaces can promote amino acid condensation by acting as adsorption supports, heterogeneous
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data analysis, for example diffraction (XRD), microscopy (SEM, AFM), cryogenic measurements, or numerical/data-driven analysis from large-scale facilities. Ability and motivation to develop skills in
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of diffusion and carbonation, early-stage rheological characteristics, life cycle analysis, and design and additive manufacturing of architected materials. Previous experience in experimental, numerical, and