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Field
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seeking a motivated and innovative doctoral student with a strong interest in solid mechanics, interface mechanics, and computational modeling to investigate how local contact interactions in
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mechanics, physics, (civil, mechanical, aerospace, or bio-) engineering, material science, or a related discipline. You have a background in mechanics, applied physics, computational mechanics, scientific
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damage-tolerant structural alloys for extreme environments. The role will integrate AI, computational mechanics and experimental data to predict deformation and fracture behaviour and guide
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Required Qualifications PhD in Physics, Applied Mathematics, or a closely related field (completed by start date) Skills Strong background in quantum mechanics Experience with computational modeling
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in Engineering Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of computational mechanics and computational
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background in mechanics and computational engineering. Demonstrated interest in the physics of sea ice and computational modelling of ice will be considered as an advantage. Suitable backgrounds include
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Computational Fluid Dynamics (CFD), fluid mechanics, and Artificial Intelligence (AI), with a particular focus on developing deep reinforcement learning methods for active flow control of hydraulic
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studying the effects of defects in composite structures. About us The Doctoral student position is placed at the Division of Computational Mechanics and Materials Engineering , which belongs to the
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in Engineering Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of computational mechanics and computational
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professors and a group of doctoral students and post-doctoral researchers. Your experience and ambitions We are looking for a candidate with a strong background in mechanics and computational engineering