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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments
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": based on the microlocal analysis of the problem, an efficient alternative to the standard Finite Element approach can be designed. The main aim of this postdoctoral project will be to adapt the methods
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. The candidate should have excellent grades from the bachelor and master level courses in mathematics and mechanics as well as appropriate skills in programming and finite element analysis . Proficiency in
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, or a closely related field with expertise in one or more of the following areas: Finite element methods for partial differential equations Multiscale numerical methods Flow and transport in porous
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
and motivated postdoctoral research fellow with expertise in numerical analysis, numerical scientific computing (including high performance scientific computing), and finite element numerical methods
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(MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments). Probabilistic and reliability
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within Irksome. A Ph.D. in applied mathematics, computer/computational science, or a related discipline and knowledge of finite element methods and scientific computing is required. Prior experience with
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of simulation tools (e.g., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration
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possible. It is strictly required that you have experience with: Scientific programming, preferably in python and/or MATLAB and/or C++ Derivation and implementation of finite element methods (FEM) in code
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the valuation of natural assets? This interdisciplinary research builds on real options theory and modern computational methods to assess dynamic, irreversible decisions under uncertainty. By blending tools from