32 parallel-processing Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in computer-science in Singapore
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of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing
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supports applied food processing research projects with strong industry relevance, focusing on product development, process optimization, and food characterization. Key Responsibilities Lead and manage
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framework for immersive 3D virtual environments, such as Roblox and Minecraft. The engineer will play a key role in building a parallelized, agent-driven exploration system and integrating a multimodal
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, testing, and processing materials like metals, plastics, and ceramics to improve product performance. You will lead and apply best practices in materials science and engineering. Key responsibilities
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an integrated process for converting CO2 into valuable chemicals using renewable energy. The approach combines biotechnological and electrocatalytic processes to efficiently transform CO2 into useful chemicals
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of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry partners to deliver translational, impact-driven research. This role supports applied food processing
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processing, and consumer acceptance. The appointee will contribute to SIT's sustainable food innovation agenda, working within a multidisciplinary team with access to established research platforms and pilot
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literature review on NQR technology, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development
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operation and maintenance of equipment Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer
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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image