212 embedded-system "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver an industry innovation research project as part of a research team developing
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Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services
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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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real-world deployment. Our research staff are equipped with industry-relevant skills through hands-on work on operational research platforms and systems. The SIT Centre for Intelligent Robotics (CIR) is
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Responsibilities Applied Research and Innovation Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy, sustainable materials, and carbon
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As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification
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for military tactical applications. The role involves developing detailed power system models in ETAP and MATLAB/Simulink, conducting performance and reliability simulations, and analysing the behaviour
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that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research
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with vendors/suppliers. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met. Work independently, as well as within a team, to ensure
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference