Senior Scientist (Coastal Protection), TCOMS

Job Description:

We are seeking a highly motivated and experienced Senior Scientist to lead and contribute to cutting-edge research and development projects in coastal protection. The successful candidate will be responsible for advanced modelling of hydrodynamics, flow-structure and flow-vegetation interactions, and sediment transport processes through a combination of large-scale physical experiments and numerical simulation techniques. This work will play an important role in supporting sustainable, climate-resilient coastal development.

Key Responsibilities:

• Lead and support large-scale physical modelling projects focused on coastal protection, encompassing hard infrastructure, nature-based solutions, and green-grey hybrid measures.
• Conduct numerical simulations using open-source CFD software (e.g., OpenFOAM) and commercial modelling tools to simulate coastal processes and support the development of effective coastal protection strategies.
• Participate in field studies and collaborate with multidisciplinary teams to monitor and evaluate the performance of coastal protection solutions from both engineering and ecological perspectives.
• Support structural and geotechnical assessments to evaluate the stability of coastal protection systems.
• Integrate artificial intelligence (AI) tools into modelling workflows to enhance predictive capabilities, solution optimization, and computational efficiency.
• Manage projects effectively, ensuring alignment with timelines, budgets, and stakeholder expectations, including grantors and industry partners.
• Prepare and deliver technical reports, scientific publications, and presentations to internal and external stakeholders.
• Perform additional duties as assigned by supervisors to support team and organizational objectives.

Requirements:

• PhD in Civil Engineering, Coastal Engineering, Ocean Engineering, or a related discipline.
• Minimum 6 years of research or industry experience in coastal engineering or related fields.
• Demonstrated expertise in the modelling of flow-structure interaction, flow-vegetation interaction and/or sediment transport processes experience with physics-informed machine learning approaches is an advantage.
• Proven ability to work independently and within collaborative teams.
• Strong problem-solving skills and resourcefulness in addressing complex technical challenges.
• Ability to manage tasks within defined timelines and budgets.
• Excellent written and verbal communication skills, with experience in stakeholder engagement and technical documentation.