65 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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3 Dec 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Chemistry Engineering Researcher Profile Leading Researcher (R4) Country Singapore Application
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manipulation. Integrate hardware and software components into a functional system for real-world deployment. Design and execute field trials (test protocols, data logging, troubleshooting, reliability
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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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impairments. Data Management: Oversee data collection and preprocessing in collaboration with healthcare partners to ensure quality, diversity, and clinical relevance. System Integration: Export and deploy
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. Degree in Infocomm, Computer Science, Cyber Security, Computer/Electrical Engineering, Information Technology or equivalent. Possessing a Master’s or PhD degree will be advantageous. Strong interest and
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, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure
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of subjects such as computer vision, Machine Learning, Artificial Intelligence and Kinematics and dynamics. Autonomous systems, Robotics and Automation. Industry 4.0 and Internet-of-Things. Advantageous to have
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-D and 3D sensing. Conduct simulation-to-real (Sim2Real) workflows, including data collection, model training, deployment, and testing on physical robots. Support system-level experimentation
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of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies