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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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Candidates should demonstrate experience and/or knowledge in one or more of the following areas: Numerical modelling of materials and structures using the Finite Element Method (FEM). Simulation of damage and
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Madrid is seeking for a PhD candidate to work in the field of homogenous catalysis. The PhD student will focus on the development of novel asymmetric transition metal catalyzed transformations using
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metamaterials combining advanced ferromagnetic materials and noble metal nanostructures, their precise characterization with state-of-the-art instruments to measure their spatio-temporal functional properties
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propagation in tools used in Friction Stir Welding (FSW) of advanced steel pipelines. The research activities include: Development of thermo-mechanical finite element models for Friction Stir Welding tools
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fabricate, functionalize, and characterize electrochemical interfaces, prepare biomolecular recognition elements, and perform electrochemical characterization and validation of biosensors. The position also
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into the Computer-Aided Design and Finite Element Analysis software tools used by Navantia DURATION OF THE CONTRACT The contract will be indefinite, in accordance with applicable law. It is cautioned that the context
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of developing of energy autonomous neural interfaces. The researcher will be in charge of the finite elements simulations to predict and design novel materials and device designs for energy harvesting based
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functionalization. Chemical characterization by different means (FTIR, UV-Vis, electron microscopies, TGA, NMR, EPR and elemental analysis, among others). Morphological characteriztion electron microscopy, (SEM, TEM