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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
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routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD degree or equivalent in a field related to behavioral analysis and mathematical modelling and demonstrated
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
techniques integrating geotechnical and geophysical data. Geohazard mapping and modeling, including tunnel-induced ground movements, sinkholes, landslides, or subsidence. Research Project: The Postdoctoral
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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, or ideally in both. The candidate must have expertise in, or a strong willingness to develop expertise in, the analysis of administrative data. This position offers an excellent opportunity for an individual
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14 Oct 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Physics Chemistry Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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preclinical model experiments. The candidate will work in a dynamic, multidisciplinary environment alongside PhD-level engineers and scientists, graduate students, and full-time researchers. They will also have
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learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high
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main PhD focus) such as additive manufacturing, advanced/hybrid manufacturing, machine learning, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications
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Geotechnical Engineering, or a related field with a focus on one or more of the following: Centrifuge experimental testing (design, execution, and data interpretation) Numerical modeling and simulation