Wallenberg-NTUPostdoctoralFellow

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 * 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++) * Experience with numerical simulation methods (e.g., finite element analysis) * Familiarity with active learning and explainable AI techniques * Strong mathematical skills in probability and statistics * Ability to design and validate computational models for complex engineering systems * Excellent academic writing and communication skills * Ability to work independently and collaboratively in interdisciplinary research environments We regret that only shortlisted candidates will be notified. Hiring