56 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap
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that are relevant to industry demands while working on research projects in SIT. This project focuses on federated causal inference in heterogeneous data environments, addressing the challenge of enabling trustworthy
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cluster moulds electronic and computer engineers, computer scientists, AI engineers, interactive media and game development experts, software engineers, and information security specialists. We invite
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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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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate with experimental data Assists the PI in drafting of reports
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into viable partnerships across areas such as Generative AI, Large Language Models, Computer Vision, Digital Twins, and Multimodal AI. Success in this role requires strong commercial instincts, the ability
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diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility
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of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key
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/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