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imaging. Key Responsibilities: Design and carry out ultrasonic experiments and develop signal processing techniques Develop theories of acoustic wave propagation in complex materials Design numerical
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of innovative solutions for next-generation sensing and imaging systems. The role requires the experimental design and operation of photonic and optoelectronic platforms, collaboration with research teams, and
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tomography (APT) and electron microscopes to develop the structure-property-processing relationship of materials. His research pursuits involve the development of advanced workflows to facilitate microscopic
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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of movement quality after stroke using multimodal functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT
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. For systems neuroscience focus: Experience with stereotaxic surgery in rodents, optogenetics and in-vivo microendoscopic imaging. For systems neuroscience focus: Experience with large-scale electrophysiology
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comprehensive visual feature codec for machine uses. To set up and analyze experiments and datasets under different conditions. To propose a methodology/framework in a software prototype to be developed in
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, emission, and combustion processes in constant volume combustion chamber. Establish comprehensive experimental databases for ammonia, hydrogen, and hydrocarbon fuels, employing advanced diagnostics such as
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supported. Service Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below. Applications received before 15 January 2026
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aquaculture (e.g., behavioral analysis, growth prediction, digital twin, computer vision.) Develop, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets