9 computational-model Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques
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, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open to fixed-term contract (renewable upon review
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team to lead the wave and hydrodynamic modelling to study the impact of mangroves and seagrass on coastal dynamics and sediment transportation. As a specialist in wave modelling software, the successful
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Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators. Under this job title, you will develop a CFD modelling platform to evaluate
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breakwaters under varied sea conditions. 2. CFD and Finite Element Modeling Perform Computational Fluid Dynamics (CFD) simulations to optimize the design and performance of floating breakwaters. Develop finite
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team to lead the storm surge modelling in the Singapore Sea. As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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, trustworthy AI, explainable AI, large language models, quantum computing.