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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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) for engineering systems. Our research covers surrogate modeling, reliability analysis, sensitivity analysis, optimization under uncertainty, and Bayesian calibration. We are known for developing the UQLab software
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/Grasshopper), manufacturing (CAM, e.g., Fusion 360) and engineering (CAE, e.g., Abaqus, Ansys) software tools commonly used in additive manufacturing, structural design and related research (e.g., parametric
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software, Stata, etc.) Enjoyment of scientific work Ability to self-motivate, self-organize and take personal responsibility in the fulfilment of tasks Good communication skills, ability to work in a team
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characteristics (capacity, safety, efficiency). Within the project a Model Suite will be developed with an API that can communicate with major simulation softwared such as SUMO, Aimsun and Vissim, to enable large
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strong background in computational modelling and optimisation. Programming: Proficiency in Python Good knowledge of structural engineering software (FEA, DEM) Motivation to work in a multidisciplinary and