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Field
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are expected to have a M.Sc. or equivalent in engineering, applied math, physics or similar and a solid background in mechanics and numerical methods. Programming skills (any language) are a plus. If
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. Numerical models will be used to trace energetic particles from their sources in thunderclouds to aircraft and the relevant interaction with avionics. The main objective is to understand the failure risk of
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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the HAM aerosol modul Performing and evaluating numerical simulations Investigating the impact of environmental changes on fire-driven dust emissions Quantifying the aerosol-radiative forcing We are looking
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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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for magnetic particle transport in fluid flows and validating the results through a laboratory-scale reactor. It combines numerical modeling, AI methods, and hands-on experimental work in the context of advanced
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knowledge of numerical methods Experience with flying drones and drone data processing (thermal IR, multispectral, LiDAR), fieldwork experience Strong English communication skills. Knowledge
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and extend existing numerical codes to simulate these phenomena. Some experiments and modelling will be done in collaboration with other PhD students in the GRAIL project. Your tasks: • Simulate
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Position The PhD student will work on laser imprint and ablator physics related to inertial confinement fusion. The student will be in charge of: Numerical modeling using FLASH code to prepare and dimension
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Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
chemistry and process engineering. We are looking for talented people to join us. In this project, neural operators are combined with classical numerical methods to enable the efficient approximation and