Wallenberg- NTU Postdoctoral Fellow

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
• Prepare technical reports, research publications, and documentation of developed methods
• Present research findings at internal meetings, conferences, and workshops
• Collaborate and assist with the supervision of undergraduate and postgraduate students on projects
• Job Requirements:
• A PhD in Mechanical Engineering, Civil Engineering, Computational Engineering, or a related field
• Strong background in reliability engineering, uncertainty quantification, and optimization methods
• Experience with surrogate modeling, machine learning, or AI in engineering applications
• Proficiency in programming (Python, MATLAB, or C++)

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at ntu? Share your experience