Research Fellow (Civil/Structural Engineering, Engineering Mechanics or Applied Mathematics)

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

NTU Singapore’s School of Civil and Environmental Engineering invites applications for a Research Fellow to advance computational methods for reliability and robustness assessment of structures and infrastructure under uncertainty. You will develop efficient probabilistic techniques and surrogate models, and explore AI/ML to scale analyses.

Suitability requires a PhD in a related field, strong background in structural reliability and uncertainty quantification, and experience with Python,

Qualifications

• PhD in Civil Engineering, Structural Engineering, Engineering Mechanics, Applied Mathematics, or a closely related field.
• Strong background in structural reliability, probabilistic modelling, stochastic dynamics, uncertainty quantification, or related areas.
• Experience in developing and implementing computational methods for engineering analysis.

Responsibilities

• Develop advanced computational methods for reliability and robustness assessment of structural and infrastructure systems under uncertainty.
• Develop and implement efficient probabilistic methods for high-dimensional, time-dependent, and dynamic problems, including advanced sampling and surrogate modelling techniques.
• Investigate the use of AI and machine-learning methods to improve the efficiency and scalability of reliability, rare-event, and system-level analyses.
• Apply the developed methodologies to structural and infrastructure-system case studies, including problems involving damage propagation and system robustness.
• Develop, maintain, and document research codes and computational workflows supporting the project.
• Prepare research findings for publication in high-quality international journals and presentation at scientific conferences.
• Contribute to the preparation of research proposals and grant applications.
• Collaborate with Lab members and external research partners; supervise students in related topics.

Skills

Python

MATLAB

C/C++

Uncertainty quantification

Structural reliability

Education

PhD in Civil Engineering or closely related field

Tools

Git

NumPy/SciPy

Job description

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University (NTU Singapore) is a leading school for research and education in the sustainable built environment. The Risk and Infrastructure Systems Lab, led by Asst. Prof. Alex Sixie Cao, develops quantitative methods for understanding and managing the reliability, robustness, and safety of structures and infrastructure systems under uncertainty. We are seeking a Research Fellow to develop advanced computational methods for the reliability and robustness assessment of structural and infrastructure systems. The role will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate.

Key Responsibilities

• Develop advanced computational methods for reliability and robustness assessment of structural and infrastructure systems under uncertainty.
• Develop and implement efficient probabilistic methods for high-dimensional, time-dependent, and dynamic problems, including advanced sampling and surrogate modelling techniques.
• Investigate the use of AI and machine-learning methods to improve the efficiency and scalability of reliability, rare-event, and system-level analyses.
• Apply the developed methodologies to structural and infrastructure-system case studies, including problems involving damage propagation and system robustness.
• Develop, maintain, and document research codes and computational workflows supporting the project.
• Prepare research findings for publication in high-quality international journals and presentation at scientific conferences.
• Contribute to the preparation of research proposals and grant applications.
• Collaborate with members of Lab and external research partners and contribute to related research activities within the lab.
• Supervision of students in relevant topics.

Job Requirements

• PhD in Civil Engineering, Structural Engineering, Engineering Mechanics, Applied Mathematics, or a closely related field.
• Strong background in structural reliability, probabilistic modelling, stochastic dynamics, uncertainty quantification, or related areas.
• Experience in developing and implementing computational methods for engineering analysis.
• Proficiency in scientific programming, preferably using Python, MATLAB, C/C++, or comparable programming languages.
• Experience with advanced sampling methods, surrogate modelling, machine learning, or AI-assisted computational methods is desirable.
• Strong publication record, or demonstrated potential to publish good articles, in relevant peer-reviewed international journals.
• Good written and oral communication skills.
• Ability to conduct research independently while working effectively within a collaborative research environment.
• Strong analytical, problem-solving, and scientific writing skills.
• Interest in contributing to research proposal and grant development.
• Entry-level candidates who have recently completed their PhD are welcome to apply.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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