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CIL’s expansion of its programme on international environmental law with an emphasis on climate change law and policy. The objective of the position is to engage in research on emerging issues related
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Technological University, NTU, and National University of Singapore, NUS, and hosted by NTU. IDMxS is focused on development of core science to drive a paradigm shift in molecular detection and analysis to link
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to conduct the research for the project entitled “Multimodal Human-robot Interaction and Analytics in Robotics Artificial Intelligence”. The role will focus on research and development of human-robot
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team to develop integrated control algorithms for autonomous cubesatellite formation flying. The controllers that will be developed during this project will differ from previous work on this topic by
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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focus on understanding how catalyst structure and composition affect their reactivity and selectivity. The successful candidate will contribute to the development of heterogeneous catalytic systems
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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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on complex system subject to various constraints. Design and develop real-time algorithms. Simulate and evaluate system performance. Document research outcome to publish at international conference / journal