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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel
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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
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skills, social responsibility, and academic success. For more information: https://www.csus.edu/student-life/housing/ Minimum Qualifications Experience and Education: Equivalent to a bachelor's degree in a
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particular in numerical methods for CFD and their programming. Other academic merits as participation in congresses or research workshops, awards, research contracts and collaboration scholarships will be
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methods, anticipates, and manages obstacles, and measures of the team to foster innovation and continuous improvement. Apply By Date: February 12th , 2026 at 11:59 pm PST. Selection activity may begin at
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, bioinformatics, data science, machine learning, optimisation, numerical methods. Please read more about the position and our department on our dedicated webpage . About the research project City digital twins
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engineering subject and a track record of publication in leading journals. You will have demonstrable experience of experimentation, numerical simulation, and the application of rigorous mathematical methods
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method implemented into the EURAD-IM. In atmospheric chemistry modeling, the 4D-var method is a powerful tool to assess the state of the atmosphere and the corresponding emissions that are in compliance
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series. Linear Algebra: Matrices, vector spaces, linear systems, eigenvalues. Numerical Methods: Numerical solution techniques for material modeling. Functional Analysis: Hilbert spaces and operators
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at the intersection of numerical linear algebra and advanced HPC. The candidate will join an international environment, with opportunities to collaborate with experts from the USA, and KAUST and publish in top-tier