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with data-based models and numerical dynamo simulations. The successful candidate will contribute to studies of time-averaged geomagnetic field morphologies and core dynamics during transitional events
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. Key skills Proven experience in mathematical modelling, particularly in the context of NCD's Highly numerate, understanding of stochastic calculus Proficient in programming languages, including R
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
with numerical modeling (e.g., LES, DNS, or CFD) and/or laboratory experiments in stratified or rotating fluids. Ability to work both independently and collaboratively as part of an interdisciplinary
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: Experience with numerical modeling and/or data analytics with big data. Broad knowledge of hydrology. Experience in ML applications. Background Investigation Statement: Prior to hiring, the final candidate(s
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’ (PHOENIX), led by Associate Professor Thomas Aubry (University of Oxford). Using a combination of laboratory experiments, field work and numerical modelling, PHOENIX aims to improve our understanding
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ecological benefits of large wood. Ecological Indicators 155, 111045. https://doi.org/10.1016/j.ecolind.2023.111045 Scolari, Fadul, Schwindt 2025. Hydro-morphodynamic numerical modeling indicates risk zones
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(iii) a fracture propagation criterion. Perform a scaling analysis of the model Develop and write a Matlab to solve the governing equations. Calculate the numerical solution for varying values
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significantly slows down the development of new desirable nanostructures. In this project, we will combine numerical models, experiments, and artificial intelligence (AI) to guide the design of specific DNA
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, modeling and simulation. The advertised position is partly funded by the German Research Foundation (DFG) project "Kernel interpolation on Riemannian manifolds", led by Dr. Janin Jäger. The project focuses