Research Fellowships in AI for Civil Engineering at National University of Singapore

In this role at the National University of Singapore, you will be focusing on applying artificial intelligence to solve complex challenges in civil and environmental engineering. Your work will involve contributing to cutting-edge research with global impact in the Department of Civil and Environmental Engineering at NUS, a renowned institution committed to excellence in research and education. **Key Responsibilities:** - Collaborate with a team of experts and international partners under the guidance of Dr. Pin Zhang - Work on one of two projects: - AI for Granular Mechanics: Combine AI and Discrete Element Method (DEM) modelling to advance computational granular mechanics - AI for Tunnels: Utilize AI-based methods, including computer vision and mechanical modelling, to enhance the resilience of urban underground networks **Qualifications Required:** - Background aligned with the objectives of the position you are applying for - For Position 1: Proficiency in DEM modelling and AI algorithms - For Position 2: Proficiency in mechanical modelling of tunnels and computer vision-related AI algorithms - Strong self-motivation, teamwork skills, and communication abilities - Experience in civil engineering, computational mechanics, artificial intelligence, or related fields is preferred - Proactive mindset, problem-solving skills, and a passion for advancing theoretical and applied engineering research This opportunity is ideal for researchers who are motivated to contribute to impactful projects in civil engineering and artificial intelligence. If you are eager to advance your career in a top-tier research environment and play a role in shaping the future of urban infrastructure and computational mechanics, we encourage you to apply before the deadline on 26 September 2025. More information can be found at [Dr. Zhang's webpage](https://cde.nus.edu.sg/cee/staff/zhangpin/).,