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quality (e.g., Mn contamination in Longyearbyen) and nutrient export to coastal ecosystems. Develop a predictive understanding of water quality changes under ongoing permafrost degradation. The four-year
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
impacts. The candidate will develop and validate computational models capable of predicting penetration, damage evolution, and energy absorption, while exploring novel lightweight material configurations
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of numerical models to study acoustic and optical interactions in metasurfaces, using in-house codes and COMSOL Multiphysics software. 2. Geometry and Material Optimization: Systematic exploration of structural
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
. Preferred qualifications include experience with: Optimal Control and/or Model Predictive Control (MPC). Modeling of deformable parts. Real-time numerical optimization. LanguagesFRENCHLevelBasic
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on predicting their service life and failure mechanisms. The research will be carried out in close collaboration with fellow researchers and industrial partners within the research area. For a position
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predictive maintenance of ships and maritime systems. Modern vessels generate large amounts of heterogeneous operational data from sensors, machinery, control systems, maintenance records, and other sources
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of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software to new developments
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University of Girona (UdG) - Institute of Computational Chemistry and Catalysis (IQCC) | Spain | 3 months ago
next-generation computational approaches to understand, predict, and engineer highly reactive intermediates in enzymatic catalysis. By combining quantum chemistry, molecular dynamics simulations, machine
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for condition monitoring and prediction, along with better risk criteria can reduce uncertainties and offer a possibility for increasing the transformer loading. KSP UPLOAD will investigate key failure mechanisms
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importance when predicting the behaviour of fuel during LOCAs. The project will aim to achieve the following: A thorough literature review on the state of the art of fuel performance codes with a particular