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Qualifications • PhD in Aerospace Engineering, Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or a closely related discipline
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. Note: This role focuses on device engineering and computation; independent material synthesis is not required. Key Responsibilities: • Design & Simulation: Model sub-wavelength polarization-selective
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, computational modelling and related research topics. Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools. Design
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This position focuses on physics-based modelling of hydrodynamics, turbulent mixing, and nutrient transport in fish farms. The research forms part of an interdisciplinary programme integrating
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). AI/ML frameworks (PyTorch, TensorFlow). Autonomous navigation and motion planning. Sensor fusion and perception systems. Experience with robot simulation, digital twin development, and physics-based
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. Knowledge of sensor selection, integration, calibration, sensor fusion, and real-time data acquisition/processing frameworks. Experience with robot simulation, digital twin development, and physics-based
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actuators, sensors, and multifunctional fluidic components • Develop novel fluidic computation frameworks for programmable behaviours, sequential control, distributed intelligence, and autonomous decision
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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A Research Fellow position is open in a research lab at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). The Research Fellow will work closely with
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material science, digital fabrication, hardware systems, artificial intelligence, and computational design to advance smart textiles and wearable systems for various applications, including health and well