Aktuelle Jobs im Zusammenhang mit Student Research Assistant in Material Mechanics and Computational Mechanics - Erlangen - Friedrich-Alexander-Universität Erlangen-Nürnberg
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Materials Researcher
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Material Properties Research Associate
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Material Properties Research Associate
vor 3 Wochen
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Material Properties Research Associate
vor 3 Wochen
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Material Properties Research Associate
vor 3 Wochen
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Research Content Specialist
vor 3 Wochen
Erlangen, Bayern, Deutschland Friedrich-Alexander-Universität Erlangen-Nürnberg VollzeitPosition OverviewWe are seeking a dedicated Content Researcher to join our dynamic team at Friedrich-Alexander-Universität Erlangen-Nürnberg. This role involves engaging in various research projects that span multiple disciplines.Key ResponsibilitiesConduct in-depth research tailored to specific project requirements.Collaborate with interdisciplinary teams...
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Content Research Coordinator
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Content Analysis Researcher
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Research Content Analyst
vor 3 Wochen
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Postdoctoral Researcher in Developmental Neurobiology
vor 20 Stunden
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Research Assistant
vor 20 Stunden
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Student Research Assistant in Material Mechanics and Computational Mechanics
vor 1 Monat
The Institute of Applied Mechanics is looking for student assistants for investigating the mechanics of glassy materials Student Assistant (HiWi) (m/f/d) in the fields of material mechanics and computational mechanics.
Your TasksGlassy materials exhibit fascinating thermo-mechanical properties due to their intrinsic non-equilibrium state, giving promising applications in various fields such as healable equipment, medical devices, additive manufacturing, etc. Understanding the microscopic mechanisms behind the mechanical behavior is essential for appropriate applications and optimizing the material properties. For this purpose, we are looking for student assistants to support our research in the following **
- Using MD simulations to characterize and analyze the mechanical properties, focusing on the physical origin of aging, strain softening, strain hardening, cavitation, crazing, or fracture
- Constitutive modeling informed by MD simulations, where the physical aging, strain softening, and strain hardening are of particular interest
- Development of multiscale simulation methods for glassy polymers incorporating temperature effects and strain softening behavior
- Multiscale fracture simulations of glassy polymers
- Using deep learning method to study the structure-property relationship of glassy polymers
Necessary *
Solid knowledge in one of the following *
- Continuum mechanics
- Constitutive theory
- Finite Element Analysis (FEA)
- Fracture mechanics
- Machine learning
- Material physics
Desirable **
- Programming skills
- Data analysis