Research Fellow / Engineer (Coastal and Hydrodynamic Modelling) - EA6

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
• Delft3D and SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics.
• Building up of a database of sea level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction.
• Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy.
• Research: Conduct research to enhance wave modelling techniques and contribute to the advancement of coastal engineering and oceanography.
• Impact Assessment: Evaluating the potential impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses.
• Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, and oceanographers.
• Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI.
• Any adhoc duties assigned.

• PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics.
• Proficiency in wave modeling software, particularly Delft3D and SWAN.
• Strong analytical and problem-solving skills.
• Research experience in coastal and ocean waves is preferred.
• Excellent communication (verbal and written) and teamwork abilities
• Proficiency in machine learning will be an advantage

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

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Singapore Institute of Technology