Opportunity Description
The Wallenberg-NTU Postdoctoral Fellowship is to bring outstanding young researchers, who have graduated from a Swedish university, to NTU for two years of postdoctoral research and studies. The Postdoctoral Fellows are given the opportunity to participate in a broad range of interdisciplinary activities and programs that characterize NTU's approach to research and education.
Key Responsibilities:
The fellow in this research project is required to:
Develop and implement decoupled AI-based surrogate models for reliability-based topology optimization
Develop geometry-generalizing machine learning models
Implement explainability-driven active learning strategies for RBTO problems
Perform finite element simulations to be used within AI-based surrogate frameworks
Validate developed methods using benchmark engineering case study problems
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