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research project Optimal adaptive space-time boundary and finite element methods. The project focuses on the design, numerical analysis, and implementation of novel numerical algorithms to efficiently solve
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, numerical analysis, and implementation of novel numerical algorithms to efficiently solve parabolic PDEs such as the heat equation. More precisely, you shall investigate space-time finite element methods (FEM
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modeling methods for computational crystal plasticity. As this is an in-house position, there is teaching duties involved and this also requires decent knowledge of the German language besides English. You
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://phd.fbk.eu/calls/detail/generative-vision-models-for-robot-learning/ Requirements Research FieldOtherEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number of offers
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two main parts: • numerical modeling of crustal stresses associated with the various proposed mechanisms; • statistical analysis of the impact of these stresses on faults, potentially active or not, and
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transfer, and the fabrication and characterization of real components. Expected Skills 1. The candidate will have a strong background in numerical–physical modeling in the field of materials science. 2
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of the work The objectives of the PhD are threefold. First, it aims to develop a reference numerical model for the propagation of wind turbine noise in the atmosphere. This model will be based on a 3D parabolic
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opportunity for a Research Associate/Research Assistant in Quantum Modelling to join us in the Quantum Group in the School of Computing. You will join a diverse community of colleagues based in our state
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specific focus on symbolic model checking methods using satisfiability and satisfiability modulo theories solvers as symbolic reasoning engines. Importantly, in addition to researching novel theoretical
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11th May 2026 Languages English English English The Department of Computer Science has a vacancy for a PhD Candidate in Hardware-Aware Deep Learning Model Optimization Apply for this job See