54 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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collaborator, submitting timely data & documents, and purchase chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meetings slides and report in conferences
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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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Requirements Bachelor’s degree or above in Electrical Engineering, Computer Engineering, or a related field from a recognised university. Strong programming skills in MATLAB/Simulink, Python, C/C++, or similar
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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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modelling, CFD mesh generation in complex 3D geometries. Proficient in handling large data sets and the ability to analysis and interpret results. Experience in commercial CFD package such as FDS and ANSYS
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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
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with Principal Investigator (PI) and the research team members to ensure all project deliverables are met. Prepare data collection forms/interview questions/questionnaire and recruit and/or interview
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++, supporting batch experiments and data collection. Support system-level experimentation, benchmarking, and iterative improvement of embodied AI and robotic applications. Prepare technical documentation
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with the robot control stack in ROS / ROS2 environments. Develop perception and state representation pipelines using RGB-D / 3D sensing. Conduct simulation-to-real deployment, including data collection