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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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of Singapore’s maritime sector. The project focuses on developing planning methods to support the electrification of harbour craft fleets, using real-world operational data to derive charging demand profiles and
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, to align project outcomes with innovation goals. Maintain accurate and detailed lab records, including experimental designs, results, and protocol iterations. Analyze sequencing data in collaboration with
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hydrodynamic modelling and sediment transportation. Model Validation: Validation of DHI Mike Model with past historical data Data Analysis: Process and analyze coastal and ocean wave data to improve model
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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development, validation, and optimization of 3D-printed propellers. This includes conducting hydrodynamic analysis, finite element modeling, as well as overseeing site-based test bedding, data collection, and
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Computer Science or a related field Proven ability to conduct independent research with a relevant publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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well as overseeing site-based test bedding, data collection, and reporting. The role also involves designing and validating connectors for the modular system to ensure mechanical integrity and adaptability. Key
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experimental data, analyzing shear coefficients and drag forces, and contributing to interdisciplinary research on coastal protection, with an emphasis on delivering accurate and impactful modeling insights. Key