110 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) in United Kingdom
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seeking a Senior Lecturer, Assistant Professor, Associate Professor, or Full Professor in one or two of the following areas: Hospitality Tech / Digitalization / AI Application in Hospitality and Tourism
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FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree
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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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, Computer Engineering, Information Security, Software Engineering, Artificial Intelligence, or a related field from a reputable university. A strong passion for teaching and student engagement. A strong
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to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems
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RESEARCH ASSISTANT (PSYCHOLOGY/ OCCUPATIONAL THERAPY) AT THE SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) SIT Health and Social Sciences (HSS) is seeking candidates for the position of a Research
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team members to ensure all project deliverables are met. Undertake these responsibilities in the project: i. Assists in co-supervision of final year projects (FYP) or capstone projects students under
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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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Role Overview We are looking for a motivated Material Science and Engineering Engineer to join our team. In this role, you will lead the development and testing of materials for various applications
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Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is