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engineering, finite element modelling • Probability theory, stochastic process modelling, statistical tools • Artificial Intelligence and Machine learning approaches • Programming (python) A first experience
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on the performance of the CMF; Using machine-learning (deep learning) methods to develop a predictive model and conduct the sensitivity study to investigate the multiple factors on the performance of flow meter
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to the scoping, delivering and reporting of research projects, as well as engineering tasks such as programming for modelling development, implementing numerical techniques such as the Finite Element Method, and
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. These models will incorporate: Analytical approximations for complex biological systems Finite-element methods for solving partial differential equations Stress-strain balance calculations Mass-transfer
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will be to: Model the optical, mechanical and optoelectronic properties of the fibers using ray tracing and finite element method models; Select and characterize soft materials for the fibers, and use
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position resides in the Autonomous and Complex Systems Group in the Advanced Computing Methods for Engineered Systems Section, Computational Sciences and Engineering Division, Computing and Computational
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be an asset: Robot Operating System (ROS). Finite Element Analysis simulation. Opto-electro-mechanical Systems. Power electronics and electrical machines. Familiarity with AWS and MS Azure platforms
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. Finite Element Analysis simulation. Opto-electro-mechanical Systems. Power electronics and electrical machines. Familiarity with AWS and MS Azure platforms. Web and desktop based graphical user interface
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). Experience running engineering simulations and performing associated analysis of simulation results. This includes finite element methods or computational fluid dynamics (Simvascular). Confidence with
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of virtual models (digital twins) for studying and detecting abnormal operating conditions (predictive diagnostics of anomalous behaviors) in distribution transformers using the finite element method (FEM