22 phd-position-data-mining Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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Health Regulations. Assist in project resource requirements and managing student projects. Job Requirements: Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent
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related laboratories and tutorials for undergraduate students. Interview and supervise student assistants in the project. Job Requirements: (Research Fellow) PhD in Computer Science or a related field
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Requirements: Have relevant competence in the areas of material science and chemical synthesis Have a degree in materials science/ chemistry. Possessing a Master’s or PhD degree will be advantageous with prior
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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
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hydrodynamic modelling and sediment transportation. ii. Model Validation: Validation of DHI Mike Model with past historical data iii. Data Analysis: Process and analyze coastal and ocean wave data to improve
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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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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing, validation and verification. Carry out risk assessment, and ensure compliance with work
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Requirements: Have relevant competence in the areas of material science and chemical synthesis Have a degree in materials science/ chemistry. Possessing a Master’s or PhD degree will be advantageous with prior