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Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
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robots and competency in the Robot Operating System, and/or Physics Engine Simulators are preferred. The terms of employment are very competitive and include housing and educational subsidies for children
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chemistry, physics, materials science, or a related field, with a focus on crystallography. To apply, submit a cover letter, a curriculum vitae that includes a complete publication list, a statement of
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
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 excavation and
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competitive salary and benefits. Research in the SIT-D lab focuses on understanding and modelling consumers' behavior and decision process for sustainable transport modes and transport innovations. Research is
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hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer
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collaboratively within a team. Applicants must have a PhD in chemical or process engineering, environmental engineering, materials science & engineering or related field. Excellent experimental and analytical
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, curriculum vitae, a statement of research interests, and the contact information for referees, who may be contacted through the selection process. The research statement should outline specific project(s) that
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questions within the theoretical and fundamental aspects of Mathematics, Physics, and Computer Science and Engineering, from various points of view and different abstraction levels. The selected candidate
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and numerical models as well as constitutive model calibration and validation based on physical experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering