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HRS2026

雇主

UNIVERSIDAD POLITECNICA DE MADRID

地点

Madrid · 西班牙

待遇

€面议

工作模式

线下

截止日期

2月3日

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岗位摘要

Conduct computational mechanics and materials design research, integrating AI for topology optimizat

岗位职责

Computational Mechanics & Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials.
Materials Design & Characterization: Study and optimize metamaterials and composites for enhanced durability, performing microstructural analysis and mechanical testing.
Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization, creating predictive models for failure control.
Validation & Experimental Collaboration: Compare simulations with experiments, collaborate on proof-of-concept testing, and refine models based on results.

申请条件

- Experience developing and simulating numerical models of damage and failure in aerospace structures
- Proficiency in finite element analysis (FEA), including for metamaterials
- Background in studying and optimizing metamaterials and composites for durability
- Skills in microstructural analysis and mechanical testing
- Experience with topology optimization
- Knowledge of AI and machine learning for guiding structural/topology optimization and predictive modeling for failure control
- Ability to compare simulations with experiments and refine models based on results
- Experience collaborating on proof-of-concept testing
- Strong analytical and modeling skills
- Ability to work in cross-disciplinary experimental collaboration

雇主简介

马德里理工大学是一所公立大学，专注于工程、科学和技术领域的教育和研究。该岗位涉及嵌入式多核架构的编译器设计、异构架构的集成编译流程研究以及软硬件编译流程的演示开发。

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