About the role
Senior Scientist I role in Singapore focusing on the development of a digital twin‑enabled infrastructure health monitoring system for offshore and coastal structures, involving hybrid modeling, data assimilation, and AI techniques.
ResearchOnsite
Key Responsibilities
- Contribute to the development of a digital twin‑enabled Infrastructure Health Monitoring framework combining multi‑sensor data, numerical models, and AI for marine structures
- Apply model updating and data assimilation techniques to estimate key parameters and improve prediction accuracy
- Build probabilistic prediction systems to assess structural health or settlement of marine structures, accounting for uncertainty in decision‑making
- Design and train machine learning, deep learning, and physics‑informed models to predict structural responses such as dynamic responses for offshore structures and settlement behaviors for coastal protection infrastructures
- Validate the system through field deployment at a Proof‑of‑Concept site and benchmark performance
- Collaborate closely with interdisciplinary teams to deliver impactful technical outcomes and peer‑reviewed publications
Requirements
- PhD or Master's degree in Coastal Engineering, Ocean Engineering, Civil Engineering, Applied Mathematics, or a related discipline
- Strong foundation in coastal or ocean engineering with knowledge of wave‑structure interaction, tidal influences, and soil‑water‑structure response in nearshore/offshore environments
- Proficiency in data assimilation techniques including Bayesian inference, Kalman filtering and its variants, and model updating with demonstrated application to engineering systems
- Experience developing data‑driven models (machine learning, deep learning) and/or physics‑informed models for structural or geospatial monitoring problems
- Familiarity with coastal and offshore infrastructure systems such as seawalls, breakwaters, quay walls, floating platforms, or station‑keeping systems (advantageous)
- Proficiency in scientific programming using Python and/or MATLAB for data analysis, model development, and AI workflows